{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Simulated annealing\n",
"\n",
"Mediante esta técnica de búsqueda heurística intentaremos aproximarnos al mínimo de la siguiente función:\n",
"\n",
"$$\n",
"f(x,y) = 0.2 + x^2 + y^2 - 0.1 \\cdot \\cos(6 \\pi x) - 0.1 \\cdot \\cos(6 \\pi y)\n",
"$$\n",
"\n",
"<img src=\"imgs/function_min.jpg\" width=70%>\n",
"\n",
"Su mínimo se encuentra en el punto $(0,0)$."
]
},
{
"cell_type": "code",
"execution_count": 71,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"iteration Number = 1 best_so_far = [20.01512611 34.41318942] new_best = 1584.96815\n",
"iteration Number = 2 best_so_far = [20.01607753 34.36600137] new_best = 1581.68692\n",
"iteration Number = 3 best_so_far = [20.04810618 34.32667921] new_best = 1580.28601\n",
"iteration Number = 4 best_so_far = [20.07854968 34.28012862] new_best = 1578.41309\n",
"iteration Number = 5 best_so_far = [20.1274608 34.24328271] new_best = 1578.00476\n",
"iteration Number = 6 best_so_far = [20.11252417 34.22025335] new_best = 1575.84548\n",
"iteration Number = 7 best_so_far = [20.05808452 34.19146481] new_best = 1571.62633\n",
"iteration Number = 8 best_so_far = [19.97393948 34.20292407] new_best = 1568.98935\n",
"iteration Number = 9 best_so_far = [19.88610822 34.2451557 ] new_best = 1568.45439\n",
"iteration Number = 13 best_so_far = [19.8532846 34.23508042] new_best = 1566.51663\n",
"iteration Number = 15 best_so_far = [19.85198081 34.1935925 ] new_best = 1563.68547\n",
"iteration Number = 16 best_so_far = [19.8668085 34.17795853] new_best = 1563.20245\n",
"iteration Number = 17 best_so_far = [19.83624344 34.13687095] new_best = 1559.18603\n",
"iteration Number = 20 best_so_far = [19.82682222 34.13479649] new_best = 1558.66772\n",
"iteration Number = 21 best_so_far = [19.77758262 34.0671824 ] new_best = 1551.94264\n",
"iteration Number = 25 best_so_far = [19.78144372 34.06398283] new_best = 1551.87795\n",
"iteration Number = 27 best_so_far = [19.75888168 33.98461051] new_best = 1545.48747\n",
"iteration Number = 28 best_so_far = [19.66543891 33.98962937] new_best = 1542.02674\n",
"iteration Number = 30 best_so_far = [19.65910547 33.94277286] new_best = 1538.64786\n",
"iteration Number = 39 best_so_far = [19.61158404 33.93991903] new_best = 1536.64178\n",
"iteration Number = 41 best_so_far = [19.56588609 33.91067157] new_best = 1533.00402\n",
"iteration Number = 42 best_so_far = [19.5366899 33.91031248] new_best = 1531.88307\n",
"iteration Number = 43 best_so_far = [19.43954157 33.89930237] new_best = 1527.33322\n",
"iteration Number = 44 best_so_far = [19.36101569 33.88998902] new_best = 1523.54290\n",
"iteration Number = 45 best_so_far = [19.37433653 33.85953325] new_best = 1522.04950\n",
"iteration Number = 47 best_so_far = [19.36975926 33.81468666] new_best = 1518.83581\n",
"iteration Number = 51 best_so_far = [19.32626865 33.77546079] new_best = 1514.43194\n",
"iteration Number = 57 best_so_far = [19.37045003 33.67585611] new_best = 1509.30161\n",
"iteration Number = 58 best_so_far = [19.36744669 33.63670597] new_best = 1506.56185\n",
"iteration Number = 59 best_so_far = [19.28676552 33.54685595] new_best = 1497.57271\n",
"iteration Number = 61 best_so_far = [19.35690824 33.50042825] new_best = 1497.17784\n",
"iteration Number = 62 best_so_far = [19.37063865 33.42392178] new_best = 1492.51501\n",
"iteration Number = 63 best_so_far = [19.42826799 33.37875186] new_best = 1491.75238\n",
"iteration Number = 66 best_so_far = [19.39775878 33.39292395] new_best = 1491.47958\n",
"iteration Number = 69 best_so_far = [19.36483892 33.41160315] new_best = 1491.43736\n",
"iteration Number = 70 best_so_far = [19.30843043 33.40417908] new_best = 1488.74085\n",
"iteration Number = 71 best_so_far = [19.24930093 33.36869001] new_best = 1484.12771\n",
"iteration Number = 72 best_so_far = [19.11129437 33.38284382] new_best = 1479.84421\n",
"iteration Number = 74 best_so_far = [19.10088066 33.34951369] new_best = 1477.16925\n",
"iteration Number = 76 best_so_far = [19.08324795 33.29868019] new_best = 1473.09296\n",
"iteration Number = 83 best_so_far = [19.12021387 33.24585188] new_best = 1471.14213\n",
"iteration Number = 85 best_so_far = [19.056593 33.23051605] new_best = 1467.60934\n",
"iteration Number = 89 best_so_far = [19.03218453 33.24330776] new_best = 1467.47322\n",
"iteration Number = 91 best_so_far = [19.03603788 33.19188439] new_best = 1464.28321\n",
"iteration Number = 93 best_so_far = [18.99633682 33.20844928] new_best = 1463.83409\n",
"iteration Number = 94 best_so_far = [19.07183413 33.13740583] new_best = 1462.08417\n",
"iteration Number = 95 best_so_far = [19.0327433 33.11456562] new_best = 1458.99160\n",
"iteration Number = 96 best_so_far = [19.05112849 33.03874276] new_best = 1454.57040\n",
"iteration Number = 99 best_so_far = [18.96392339 32.95352485] new_best = 1445.62550\n",
"iteration Number = 102 best_so_far = [18.95153138 32.86912756] new_best = 1439.75905\n",
"iteration Number = 105 best_so_far = [18.97453545 32.81618233] new_best = 1437.14083\n",
"iteration Number = 107 best_so_far = [18.81475993 32.81301919] new_best = 1431.07505\n",
"iteration Number = 108 best_so_far = [18.85535512 32.74015488] new_best = 1427.71385\n",
"iteration Number = 109 best_so_far = [18.84026318 32.68668513] new_best = 1423.58056\n",
"iteration Number = 115 best_so_far = [18.89110765 32.65540423] new_best = 1423.39928\n",
"iteration Number = 117 best_so_far = [18.88390327 32.60834064] new_best = 1420.12065\n",
"iteration Number = 118 best_so_far = [18.88203001 32.60568141] new_best = 1419.88387\n",
"iteration Number = 120 best_so_far = [18.82778451 32.60105656] new_best = 1417.58263\n",
"iteration Number = 121 best_so_far = [18.86720666 32.56483724] new_best = 1416.75689\n",
"iteration Number = 123 best_so_far = [18.82876201 32.50633063] new_best = 1411.58283\n",
"iteration Number = 124 best_so_far = [18.73489376 32.41629565] new_best = 1401.98088\n",
"iteration Number = 125 best_so_far = [18.71753677 32.40959768] new_best = 1400.85484\n",
"iteration Number = 127 best_so_far = [18.64184505 32.41470946] new_best = 1398.33751\n",
"iteration Number = 129 best_so_far = [18.58876372 32.39543356] new_best = 1395.15645\n",
"iteration Number = 131 best_so_far = [18.57610887 32.37711331] new_best = 1393.49474\n",
"iteration Number = 133 best_so_far = [18.56652594 32.38094437] new_best = 1393.40982\n",
"iteration Number = 134 best_so_far = [18.57040309 32.31686551] new_best = 1389.37014\n",
"iteration Number = 136 best_so_far = [18.52307879 32.31462912] new_best = 1387.53760\n",
"iteration Number = 138 best_so_far = [18.51581564 32.31744875] new_best = 1387.45380\n",
"iteration Number = 139 best_so_far = [18.51306735 32.31483141] new_best = 1387.18587\n",
"iteration Number = 140 best_so_far = [18.48974965 32.2847771 ] new_best = 1384.41609\n",
"iteration Number = 141 best_so_far = [18.48930353 32.20904487] new_best = 1379.64571\n",
"iteration Number = 143 best_so_far = [18.49311475 32.1841038 ] new_best = 1378.20606\n",
"iteration Number = 144 best_so_far = [18.40413184 32.13063951] new_best = 1371.34234\n",
"iteration Number = 145 best_so_far = [18.32738797 32.1132253 ] new_best = 1367.30503\n",
"iteration Number = 146 best_so_far = [18.28634802 32.08865487] new_best = 1364.21805\n",
"iteration Number = 150 best_so_far = [18.23045002 32.11754027] new_best = 1364.18133\n",
"iteration Number = 151 best_so_far = [18.21020528 32.05075214] new_best = 1359.07213\n",
"iteration Number = 155 best_so_far = [18.1032264 32.01982093] new_best = 1353.13769\n",
"iteration Number = 156 best_so_far = [18.10196671 31.96416048] new_best = 1349.54530\n",
"iteration Number = 157 best_so_far = [18.13027996 31.81953192] new_best = 1341.56257\n",
"iteration Number = 158 best_so_far = [18.20508267 31.77018328] new_best = 1341.08064\n",
"iteration Number = 159 best_so_far = [18.25400953 31.67887593] new_best = 1336.85576\n",
"iteration Number = 160 best_so_far = [18.1827201 31.64422286] new_best = 1332.17346\n",
"iteration Number = 161 best_so_far = [18.21261888 31.62169257] new_best = 1331.83163\n",
"iteration Number = 162 best_so_far = [18.21476922 31.56893772] new_best = 1328.66656\n",
"iteration Number = 165 best_so_far = [18.19871352 31.52739821] new_best = 1325.54070\n",
"iteration Number = 167 best_so_far = [18.22527836 31.50248983] new_best = 1324.91343\n",
"iteration Number = 169 best_so_far = [18.30684919 31.42115632] new_best = 1322.54920\n",
"iteration Number = 175 best_so_far = [18.35658561 31.39066199] new_best = 1322.39831\n",
"iteration Number = 176 best_so_far = [18.3721041 31.29912804] new_best = 1317.21562\n",
"iteration Number = 178 best_so_far = [18.27768045 31.33112489] new_best = 1315.76421\n",
"iteration Number = 181 best_so_far = [18.24397427 31.24346372] new_best = 1309.22297\n",
"iteration Number = 182 best_so_far = [18.25402817 31.15041476] new_best = 1303.84612\n",
"iteration Number = 183 best_so_far = [18.19607166 31.17755748] new_best = 1303.52091\n",
"iteration Number = 185 best_so_far = [18.22209107 31.12697954] new_best = 1301.25666\n",
"iteration Number = 187 best_so_far = [18.15794768 31.12423108] new_best = 1298.79573\n",
"iteration Number = 193 best_so_far = [18.14176316 31.11368226] new_best = 1297.52619\n",
"iteration Number = 194 best_so_far = [18.20464575 31.04378186] new_best = 1295.33254\n",
"iteration Number = 195 best_so_far = [18.13318702 31.08086717] new_best = 1295.10654\n",
"iteration Number = 196 best_so_far = [18.09656986 31.07135112] new_best = 1293.11434\n",
"iteration Number = 198 best_so_far = [18.07596477 31.03819084] new_best = 1290.21864\n",
"iteration Number = 199 best_so_far = [18.07200615 31.01395029] new_best = 1288.54335\n",
"iteration Number = 200 best_so_far = [18.08135134 31.00338763] new_best = 1288.24068\n",
"iteration Number = 201 best_so_far = [18.06928119 30.93937049] new_best = 1283.87649\n",
"iteration Number = 203 best_so_far = [18.09372904 30.83665998] new_best = 1278.60101\n",
"iteration Number = 206 best_so_far = [18.10082569 30.79617795] new_best = 1276.35124\n",
"iteration Number = 207 best_so_far = [18.15196869 30.68163285] new_best = 1271.05596\n",
"iteration Number = 208 best_so_far = [18.13754885 30.67941557] new_best = 1270.38448\n",
"iteration Number = 209 best_so_far = [18.18825707 30.61934606] new_best = 1268.58782\n",
"iteration Number = 213 best_so_far = [18.14580485 30.60937249] new_best = 1266.45027\n",
"iteration Number = 215 best_so_far = [18.15505802 30.54991751] new_best = 1263.26125\n",
"iteration Number = 216 best_so_far = [18.2177046 30.51051398] new_best = 1263.13260\n",
"iteration Number = 217 best_so_far = [18.19875911 30.43463376] new_best = 1257.77621\n",
"iteration Number = 220 best_so_far = [18.25439451 30.37349387] new_best = 1255.89095\n",
"iteration Number = 221 best_so_far = [18.23778745 30.3458614 ] new_best = 1253.61439\n",
"iteration Number = 227 best_so_far = [18.24001848 30.25068836] new_best = 1248.02250\n",
"iteration Number = 228 best_so_far = [18.214353 30.16072296] new_best = 1241.79408\n",
"iteration Number = 229 best_so_far = [18.18288206 30.1523347 ] new_best = 1240.17206\n",
"iteration Number = 230 best_so_far = [18.24292497 30.10774094] new_best = 1239.53757\n",
"iteration Number = 232 best_so_far = [18.2236593 30.05613662] new_best = 1235.67113\n",
"iteration Number = 233 best_so_far = [18.19261386 29.99447297] new_best = 1230.82908\n",
"iteration Number = 234 best_so_far = [18.10973793 29.98950456] new_best = 1227.48214\n",
"iteration Number = 236 best_so_far = [18.0966493 29.96725727] new_best = 1225.66851\n",
"iteration Number = 237 best_so_far = [18.15739203 29.8678894 ] new_best = 1222.16052\n",
"iteration Number = 238 best_so_far = [18.15121413 29.82509611] new_best = 1219.39695\n",
"iteration Number = 239 best_so_far = [18.16683282 29.79116449] new_best = 1217.91614\n",
"iteration Number = 240 best_so_far = [18.22191802 29.7297958 ] new_best = 1216.11172\n",
"iteration Number = 242 best_so_far = [18.20755877 29.63783529] new_best = 1210.10419\n",
"iteration Number = 243 best_so_far = [18.24637878 29.61452432] new_best = 1210.10413\n",
"iteration Number = 245 best_so_far = [18.13624252 29.54042463] new_best = 1201.91690\n",
"iteration Number = 247 best_so_far = [18.07047416 29.47306776] new_best = 1195.46536\n",
"iteration Number = 250 best_so_far = [18.02344013 29.47343224] new_best = 1193.72370\n",
"iteration Number = 253 best_so_far = [18.00199568 29.45224902] new_best = 1191.66772\n",
"iteration Number = 254 best_so_far = [17.97068468 29.398958 ] new_best = 1187.32535\n",
"iteration Number = 255 best_so_far = [17.81548888 29.2964603 ] new_best = 1175.89255\n",
"iteration Number = 256 best_so_far = [17.72283616 29.29788499] new_best = 1172.53766\n",
"iteration Number = 257 best_so_far = [17.68602257 29.29573754] new_best = 1171.06702\n",
"iteration Number = 258 best_so_far = [17.67759029 29.19213269] new_best = 1164.86916\n",
"iteration Number = 259 best_so_far = [17.63355691 29.11813639] new_best = 1158.98733\n",
"iteration Number = 260 best_so_far = [17.51943211 29.16583745] new_best = 1157.97024\n",
"iteration Number = 262 best_so_far = [17.43740422 29.15992653] new_best = 1154.70056\n",
"iteration Number = 264 best_so_far = [17.4275255 29.12691663] new_best = 1152.38740\n",
"iteration Number = 265 best_so_far = [17.45333212 29.06788921] new_best = 1149.79373\n",
"iteration Number = 266 best_so_far = [17.48363135 29.04848247] new_best = 1149.72434\n",
"iteration Number = 269 best_so_far = [17.45976563 29.03748102] new_best = 1148.21354\n",
"iteration Number = 272 best_so_far = [17.46515007 28.97684497] new_best = 1144.87767\n",
"iteration Number = 273 best_so_far = [17.41893082 28.95718882] new_best = 1142.07324\n",
"iteration Number = 276 best_so_far = [17.37517205 28.973311 ] new_best = 1141.39137\n",
"iteration Number = 277 best_so_far = [17.35499798 28.96690897] new_best = 1140.30540\n",
"iteration Number = 278 best_so_far = [17.33681481 28.94651188] new_best = 1138.51389\n",
"iteration Number = 279 best_so_far = [17.24509967 28.9137236 ] new_best = 1133.61420\n",
"iteration Number = 281 best_so_far = [17.17867644 28.8857908 ] new_best = 1129.84980\n",
"iteration Number = 283 best_so_far = [17.15890783 28.84683846] new_best = 1126.96416\n",
"iteration Number = 287 best_so_far = [17.20631072 28.74583282] new_best = 1122.64460\n",
"iteration Number = 288 best_so_far = [17.16981481 28.66408565] new_best = 1116.63243\n",
"iteration Number = 290 best_so_far = [17.07941415 28.71356548] new_best = 1116.30227\n",
"iteration Number = 296 best_so_far = [17.02564421 28.71540576] new_best = 1114.49616\n",
"iteration Number = 297 best_so_far = [16.90689551 28.68191013] new_best = 1108.61798\n",
"iteration Number = 298 best_so_far = [16.90478229 28.61840225] new_best = 1104.94761\n",
"iteration Number = 300 best_so_far = [16.85050686 28.58185667] new_best = 1101.16158\n",
"iteration Number = 301 best_so_far = [16.85821595 28.56059746] new_best = 1100.23979\n",
"iteration Number = 303 best_so_far = [16.8211927 28.55791589] new_best = 1098.85176\n",
"iteration Number = 307 best_so_far = [16.85251908 28.53738018] new_best = 1098.76053\n",
"iteration Number = 308 best_so_far = [16.88356364 28.41182989] new_best = 1092.53531\n",
"iteration Number = 309 best_so_far = [16.86123753 28.41317629] new_best = 1091.88872\n",
"iteration Number = 311 best_so_far = [16.8523753 28.39340221] new_best = 1090.43791\n",
"iteration Number = 312 best_so_far = [16.84096705 28.34522855] new_best = 1087.27141\n",
"iteration Number = 316 best_so_far = [16.85949652 28.22563202] new_best = 1081.26318\n",
"iteration Number = 320 best_so_far = [16.87883459 28.16905799] new_best = 1078.75697\n",
"iteration Number = 321 best_so_far = [16.84157781 28.15058791] new_best = 1076.48824\n",
"iteration Number = 324 best_so_far = [16.8008058 28.1591239] new_best = 1075.58334\n",
"iteration Number = 326 best_so_far = [16.82716031 28.13154743] new_best = 1074.91440\n",
"iteration Number = 328 best_so_far = [16.82799589 28.0916972 ] new_best = 1072.63845\n",
"iteration Number = 329 best_so_far = [16.83086985 28.08101359] new_best = 1072.11542\n",
"iteration Number = 331 best_so_far = [16.83595726 28.05555736] new_best = 1070.81233\n",
"iteration Number = 333 best_so_far = [16.88020175 28.02632387] new_best = 1070.59154\n",
"iteration Number = 334 best_so_far = [16.8364592 27.95136631] new_best = 1064.98551\n",
"iteration Number = 336 best_so_far = [16.86414877 27.89994361] new_best = 1063.12295\n",
"iteration Number = 340 best_so_far = [16.85165457 27.87778375] new_best = 1061.51155\n",
"iteration Number = 342 best_so_far = [16.84338327 27.85235809] new_best = 1059.84596\n",
"iteration Number = 343 best_so_far = [16.81504062 27.83958003] new_best = 1058.18108\n",
"iteration Number = 344 best_so_far = [16.76794343 27.80928382] new_best = 1054.84171\n",
"iteration Number = 345 best_so_far = [16.74802432 27.79052506] new_best = 1053.07300\n",
"iteration Number = 346 best_so_far = [16.76390541 27.74952134] new_best = 1051.28703\n",
"iteration Number = 348 best_so_far = [16.79830511 27.72667123] new_best = 1051.18580\n",
"iteration Number = 352 best_so_far = [16.8226768 27.6853165] new_best = 1049.68260\n",
"iteration Number = 353 best_so_far = [16.86271465 27.62718585] new_best = 1047.82557\n",
"iteration Number = 355 best_so_far = [16.77080798 27.61327639] new_best = 1043.93821\n",
"iteration Number = 357 best_so_far = [16.75670488 27.61687364] new_best = 1043.63270\n",
"iteration Number = 359 best_so_far = [16.80201473 27.56362735] new_best = 1042.38152\n",
"iteration Number = 361 best_so_far = [16.8039205 27.52411571] new_best = 1040.32372\n",
"iteration Number = 362 best_so_far = [16.77647274 27.49734893] new_best = 1037.90106\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"iteration Number = 363 best_so_far = [16.7225534 27.4454463] new_best = 1033.09636\n",
"iteration Number = 365 best_so_far = [16.66921843 27.42799328] new_best = 1030.27743\n",
"iteration Number = 366 best_so_far = [16.61197848 27.43394515] new_best = 1028.75911\n",
"iteration Number = 368 best_so_far = [16.62997857 27.37408585] new_best = 1025.94736\n",
"iteration Number = 369 best_so_far = [16.56041693 27.36910133] new_best = 1023.47876\n",
"iteration Number = 370 best_so_far = [16.56039 27.35024743] new_best = 1022.42987\n",
"iteration Number = 372 best_so_far = [16.47292428 27.29166375] new_best = 1016.40932\n",
"iteration Number = 373 best_so_far = [16.50599863 27.25843132] new_best = 1015.75520\n",
"iteration Number = 378 best_so_far = [16.50348345 27.22252427] new_best = 1013.78145\n",
"iteration Number = 379 best_so_far = [16.42139767 27.15404674] new_best = 1007.30937\n",
"iteration Number = 380 best_so_far = [16.39540611 27.13493427] new_best = 1005.35593\n",
"iteration Number = 390 best_so_far = [16.4139417 27.08146054] new_best = 1003.01191\n",
"iteration Number = 392 best_so_far = [16.43291428 27.04244019] new_best = 1001.49278\n",
"iteration Number = 393 best_so_far = [16.379394 26.99499494] new_best = 997.04959\n",
"iteration Number = 394 best_so_far = [16.31192735 27.00673078] new_best = 995.45150\n",
"iteration Number = 401 best_so_far = [16.33293791 26.98156033] new_best = 994.77597\n",
"iteration Number = 403 best_so_far = [16.26796918 26.92986518] new_best = 990.00892\n",
"iteration Number = 410 best_so_far = [16.22703107 26.90415827] new_best = 987.41785\n",
"iteration Number = 412 best_so_far = [16.23198299 26.89574248] new_best = 987.13220\n",
"iteration Number = 413 best_so_far = [16.21966936 26.8261952 ] new_best = 983.07617\n",
"iteration Number = 415 best_so_far = [16.27948097 26.70208824] new_best = 978.09160\n",
"iteration Number = 416 best_so_far = [16.30140506 26.68311103] new_best = 977.74663\n",
"iteration Number = 418 best_so_far = [16.29059222 26.67387241] new_best = 976.91099\n",
"iteration Number = 420 best_so_far = [16.32266713 26.60219705] new_best = 974.17513\n",
"iteration Number = 424 best_so_far = [16.37479691 26.5487807 ] new_best = 973.16190\n",
"iteration Number = 425 best_so_far = [16.41529716 26.47620397] new_best = 970.73732\n",
"iteration Number = 427 best_so_far = [16.41450133 26.47438813] new_best = 970.61197\n",
"iteration Number = 428 best_so_far = [16.4212015 26.43121031] new_best = 968.49802\n",
"iteration Number = 431 best_so_far = [16.4556492 26.38779567] new_best = 967.31749\n",
"iteration Number = 432 best_so_far = [16.4182212 26.35446247] new_best = 964.22497\n",
"iteration Number = 433 best_so_far = [16.50348819 26.27369453] new_best = 962.93012\n",
"iteration Number = 434 best_so_far = [16.52947367 26.23622841] new_best = 961.87570\n",
"iteration Number = 437 best_so_far = [16.42171384 26.22845738] new_best = 957.85409\n",
"iteration Number = 443 best_so_far = [16.44899517 26.15928752] new_best = 955.23307\n",
"iteration Number = 444 best_so_far = [16.40188939 26.17383991] new_best = 954.36277\n",
"iteration Number = 445 best_so_far = [16.48918678 26.087665 ] new_best = 952.76400\n",
"iteration Number = 446 best_so_far = [16.45519583 26.05757538] new_best = 949.98848\n",
"iteration Number = 448 best_so_far = [16.33443389 25.97791644] new_best = 941.67501\n",
"iteration Number = 450 best_so_far = [16.28722517 25.97810341] new_best = 940.18069\n",
"iteration Number = 451 best_so_far = [16.20040287 25.92820733] new_best = 934.98580\n",
"iteration Number = 453 best_so_far = [16.11147541 25.98126258] new_best = 934.76215\n",
"iteration Number = 454 best_so_far = [16.09272186 25.98149839] new_best = 934.13720\n",
"iteration Number = 455 best_so_far = [16.1602744 25.84934538] new_best = 929.73819\n",
"iteration Number = 456 best_so_far = [16.13153962 25.834377 ] new_best = 928.01992\n",
"iteration Number = 457 best_so_far = [16.1017819 25.8251693] new_best = 926.53857\n",
"iteration Number = 458 best_so_far = [16.12016851 25.73131862] new_best = 922.18806\n",
"iteration Number = 459 best_so_far = [16.08344758 25.71048539] new_best = 919.83684\n",
"iteration Number = 461 best_so_far = [16.04296416 25.64385792] new_best = 915.02425\n",
"iteration Number = 462 best_so_far = [16.0185319 25.56399907] new_best = 910.25412\n",
"iteration Number = 465 best_so_far = [16.02301644 25.55972126] new_best = 910.18963\n",
"iteration Number = 468 best_so_far = [16.02448601 25.54546701] new_best = 909.53164\n",
"iteration Number = 469 best_so_far = [15.95224446 25.55241064] new_best = 907.59457\n",
"iteration Number = 472 best_so_far = [15.88732042 25.51560903] new_best = 903.80265\n",
"iteration Number = 474 best_so_far = [15.83728451 25.53786386] new_best = 903.37837\n",
"iteration Number = 477 best_so_far = [15.84730757 25.48851442] new_best = 901.19565\n",
"iteration Number = 478 best_so_far = [15.75088324 25.46339572] new_best = 896.75185\n",
"iteration Number = 481 best_so_far = [15.71397922 25.44866737] new_best = 894.75589\n",
"iteration Number = 482 best_so_far = [15.65474687 25.35594416] new_best = 888.00609\n",
"iteration Number = 484 best_so_far = [15.60249216 25.30211454] new_best = 883.71785\n",
"iteration Number = 486 best_so_far = [15.57194976 25.28342904] new_best = 881.90176\n",
"iteration Number = 491 best_so_far = [15.50541619 25.2419971 ] new_best = 877.89233\n",
"iteration Number = 493 best_so_far = [15.49102734 25.24265973] new_best = 877.47740\n",
"iteration Number = 495 best_so_far = [15.48720121 25.21048109] new_best = 875.78747\n",
"iteration Number = 496 best_so_far = [15.43063374 25.20839386] new_best = 873.86439\n",
"iteration Number = 498 best_so_far = [15.37139321 25.20428994] new_best = 871.73685\n",
"iteration Number = 499 best_so_far = [15.28324172 25.16250947] new_best = 866.97099\n",
"iteration Number = 501 best_so_far = [15.34199185 25.11434081] new_best = 866.26203\n",
"iteration Number = 503 best_so_far = [15.30132845 24.9903933 ] new_best = 858.67044\n",
"iteration Number = 504 best_so_far = [15.3261886 24.96632644] new_best = 858.23084\n",
"iteration Number = 505 best_so_far = [15.35982178 24.89464452] new_best = 855.82084\n",
"iteration Number = 506 best_so_far = [15.33772858 24.89332211] new_best = 855.06752\n",
"iteration Number = 507 best_so_far = [15.31067818 24.88677492] new_best = 853.93234\n",
"iteration Number = 509 best_so_far = [15.32808181 24.8739857 ] new_best = 853.83884\n",
"iteration Number = 510 best_so_far = [15.37365007 24.76727378] new_best = 849.92457\n",
"iteration Number = 511 best_so_far = [15.36811514 24.72865364] new_best = 847.76507\n",
"iteration Number = 512 best_so_far = [15.31135429 24.71283223] new_best = 845.20494\n",
"iteration Number = 513 best_so_far = [15.23399525 24.66675821] new_best = 840.65410\n",
"iteration Number = 516 best_so_far = [15.29826528 24.58185976] new_best = 838.43048\n",
"iteration Number = 518 best_so_far = [15.29663772 24.49477618] new_best = 834.20409\n",
"iteration Number = 519 best_so_far = [15.23727807 24.51143771] new_best = 833.30776\n",
"iteration Number = 520 best_so_far = [15.27036081 24.48303175] new_best = 832.86060\n",
"iteration Number = 521 best_so_far = [15.24241076 24.47866459] new_best = 831.84268\n",
"iteration Number = 522 best_so_far = [15.15819651 24.34602242] new_best = 822.70085\n",
"iteration Number = 532 best_so_far = [15.12523079 24.33422221] new_best = 821.09740\n",
"iteration Number = 533 best_so_far = [15.10604397 24.26536096] new_best = 817.21380\n",
"iteration Number = 534 best_so_far = [15.12698614 24.22728121] new_best = 816.10235\n",
"iteration Number = 535 best_so_far = [15.10723731 24.16805149] new_best = 812.66612\n",
"iteration Number = 537 best_so_far = [15.09454678 24.15105263] new_best = 811.43415\n",
"iteration Number = 543 best_so_far = [15.02949062 24.10693539] new_best = 807.18636\n",
"iteration Number = 546 best_so_far = [15.08104626 23.98334984] new_best = 802.73918\n",
"iteration Number = 547 best_so_far = [15.03403625 23.98177743] new_best = 801.17358\n",
"iteration Number = 548 best_so_far = [15.03679763 23.94584891] new_best = 799.58040\n",
"iteration Number = 550 best_so_far = [15.0122383 23.92191617] new_best = 797.71928\n",
"iteration Number = 552 best_so_far = [15.02643964 23.90964682] new_best = 797.59138\n",
"iteration Number = 555 best_so_far = [14.95488332 23.84629633] new_best = 792.52639\n",
"iteration Number = 558 best_so_far = [14.99234633 23.70494529] new_best = 786.72010\n",
"iteration Number = 559 best_so_far = [14.97738476 23.67234142] new_best = 784.71154\n",
"iteration Number = 562 best_so_far = [14.92818588 23.65484779] new_best = 782.48460\n",
"iteration Number = 563 best_so_far = [14.85428248 23.61628323] new_best = 778.61404\n",
"iteration Number = 564 best_so_far = [14.85853422 23.58383759] new_best = 777.26310\n",
"iteration Number = 565 best_so_far = [14.83527347 23.56190967] new_best = 775.58938\n",
"iteration Number = 566 best_so_far = [14.77136727 23.51889311] new_best = 771.66424\n",
"iteration Number = 567 best_so_far = [14.70097871 23.56345244] new_best = 771.51259\n",
"iteration Number = 569 best_so_far = [14.65080871 23.57392543] new_best = 770.49976\n",
"iteration Number = 572 best_so_far = [14.62029266 23.54278146] new_best = 768.22212\n",
"iteration Number = 573 best_so_far = [14.58239908 23.47677358] new_best = 764.09784\n",
"iteration Number = 574 best_so_far = [14.61268526 23.41440311] new_best = 761.90742\n",
"iteration Number = 575 best_so_far = [14.59791732 23.32594332] new_best = 757.27362\n",
"iteration Number = 576 best_so_far = [14.57828514 23.32272787] new_best = 756.58860\n",
"iteration Number = 578 best_so_far = [14.54039605 23.31283594] new_best = 755.09224\n",
"iteration Number = 579 best_so_far = [14.59078737 23.27655632] new_best = 754.82910\n",
"iteration Number = 580 best_so_far = [14.51276487 23.27449151] new_best = 752.57623\n",
"iteration Number = 583 best_so_far = [14.5131798 23.22789207] new_best = 750.50614\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"iteration Number = 589 best_so_far = [14.56919718 23.18690756] new_best = 750.21458\n",
"iteration Number = 590 best_so_far = [14.58056756 23.09466682] new_best = 746.18255\n",
"iteration Number = 591 best_so_far = [14.52485094 23.03763841] new_best = 741.91697\n",
"iteration Number = 592 best_so_far = [14.51525355 22.99227157] new_best = 739.53451\n",
"iteration Number = 593 best_so_far = [14.4966415 22.96376016] new_best = 737.70989\n",
"iteration Number = 594 best_so_far = [14.53177653 22.93437739] new_best = 737.40968\n",
"iteration Number = 596 best_so_far = [14.43308721 22.91498147] new_best = 733.64453\n",
"iteration Number = 597 best_so_far = [14.41442798 22.86339929] new_best = 730.79078\n",
"iteration Number = 598 best_so_far = [14.38658233 22.83225405] new_best = 728.53113\n",
"iteration Number = 604 best_so_far = [14.36418456 22.82672047] new_best = 727.60403\n",
"iteration Number = 606 best_so_far = [14.33009325 22.80107857] new_best = 725.42234\n",
"iteration Number = 608 best_so_far = [14.25827087 22.74872232] new_best = 720.98424\n",
"iteration Number = 611 best_so_far = [14.20650785 22.63295426] new_best = 714.26940\n",
"iteration Number = 615 best_so_far = [14.24044682 22.60397189] new_best = 713.91180\n",
"iteration Number = 617 best_so_far = [14.28261001 22.56719228] new_best = 713.44525\n",
"iteration Number = 618 best_so_far = [14.30139922 22.54487949] new_best = 712.98687\n",
"iteration Number = 621 best_so_far = [14.2404945 22.54645822] new_best = 711.41806\n",
"iteration Number = 622 best_so_far = [14.14437355 22.43796937] new_best = 703.85468\n",
"iteration Number = 623 best_so_far = [14.15455048 22.42205201] new_best = 703.40583\n",
"iteration Number = 628 best_so_far = [14.14473632 22.35851037] new_best = 700.17830\n",
"iteration Number = 630 best_so_far = [14.10731271 22.3380227 ] new_best = 698.14679\n",
"iteration Number = 631 best_so_far = [14.05668249 22.34563143] new_best = 696.97113\n",
"iteration Number = 632 best_so_far = [13.94816055 22.34997946] new_best = 694.12198\n",
"iteration Number = 634 best_so_far = [13.94049122 22.33763183] new_best = 693.36461\n",
"iteration Number = 635 best_so_far = [13.89332731 22.35797471] new_best = 693.05691\n",
"iteration Number = 636 best_so_far = [13.87702785 22.30775904] new_best = 690.38851\n",
"iteration Number = 639 best_so_far = [13.89531357 22.24979491] new_best = 688.37462\n",
"iteration Number = 640 best_so_far = [13.85213385 22.26123184] new_best = 687.71830\n",
"iteration Number = 644 best_so_far = [13.89535421 22.22769153] new_best = 687.43290\n",
"iteration Number = 646 best_so_far = [13.91690909 22.20133347] new_best = 686.86003\n",
"iteration Number = 649 best_so_far = [13.83558067 22.14625745] new_best = 682.27217\n",
"iteration Number = 652 best_so_far = [13.82650082 22.08195454] new_best = 679.08009\n",
"iteration Number = 653 best_so_far = [13.81959185 22.06247038] new_best = 677.99073\n",
"iteration Number = 655 best_so_far = [13.79225796 22.06813305] new_best = 677.47040\n",
"iteration Number = 656 best_so_far = [13.68750118 22.10734228] new_best = 676.23221\n",
"iteration Number = 658 best_so_far = [13.67835367 22.11017503] new_best = 676.10684\n",
"iteration Number = 659 best_so_far = [13.69439729 22.09076504] new_best = 675.66414\n",
"iteration Number = 660 best_so_far = [13.66865068 22.0711357 ] new_best = 674.04310\n",
"iteration Number = 661 best_so_far = [13.6575005 21.97825161] new_best = 669.58127\n",
"iteration Number = 662 best_so_far = [13.73137003 21.92315672] new_best = 669.32922\n",
"iteration Number = 665 best_so_far = [13.55943451 21.98608405] new_best = 667.39412\n",
"iteration Number = 666 best_so_far = [13.52427087 21.99791652] new_best = 667.00441\n",
"iteration Number = 670 best_so_far = [13.51039171 21.98176526] new_best = 665.93319\n",
"iteration Number = 671 best_so_far = [13.5054238 21.95605436] new_best = 664.69764\n",
"iteration Number = 672 best_so_far = [13.39830126 21.96246841] new_best = 661.95466\n",
"iteration Number = 673 best_so_far = [13.35128351 21.95661867] new_best = 660.38781\n",
"iteration Number = 676 best_so_far = [13.37565566 21.94012663] new_best = 660.36527\n",
"iteration Number = 677 best_so_far = [13.39162297 21.88546811] new_best = 658.51963\n",
"iteration Number = 680 best_so_far = [13.2918237 21.88283772] new_best = 655.72127\n",
"iteration Number = 683 best_so_far = [13.33216559 21.79989856] new_best = 653.16233\n",
"iteration Number = 684 best_so_far = [13.36277838 21.75270445] new_best = 651.86251\n",
"iteration Number = 688 best_so_far = [13.34955466 21.69397275] new_best = 648.85585\n",
"iteration Number = 690 best_so_far = [13.34234422 21.68834237] new_best = 648.41142\n",
"iteration Number = 691 best_so_far = [13.29456766 21.67352595] new_best = 646.51397\n",
"iteration Number = 692 best_so_far = [13.36234083 21.62340976] new_best = 646.17052\n",
"iteration Number = 693 best_so_far = [13.36288632 21.57902486] new_best = 644.34508\n",
"iteration Number = 694 best_so_far = [13.37440568 21.55114182] new_best = 643.51243\n",
"iteration Number = 695 best_so_far = [13.3776686 21.49425971] new_best = 641.19688\n",
"iteration Number = 696 best_so_far = [13.29392249 21.50793964] new_best = 639.54575\n",
"iteration Number = 698 best_so_far = [13.28783383 21.49824376] new_best = 638.97605\n",
"iteration Number = 700 best_so_far = [13.28600543 21.41643595] new_best = 635.31784\n",
"iteration Number = 703 best_so_far = [13.30394285 21.32925635] new_best = 631.94781\n",
"iteration Number = 705 best_so_far = [13.25485861 21.34401065] new_best = 631.35144\n",
"iteration Number = 706 best_so_far = [13.23461589 21.27034545] new_best = 627.77563\n",
"iteration Number = 710 best_so_far = [13.19311319 21.28847377] new_best = 627.48009\n",
"iteration Number = 711 best_so_far = [13.19507423 21.23976544] new_best = 625.54432\n",
"iteration Number = 713 best_so_far = [13.16563059 21.23861607] new_best = 624.73505\n",
"iteration Number = 715 best_so_far = [13.10311658 21.2455311 ] new_best = 623.30960\n",
"iteration Number = 716 best_so_far = [13.07394349 21.24245581] new_best = 622.36695\n",
"iteration Number = 717 best_so_far = [13.08817708 21.15619942] new_best = 619.19137\n",
"iteration Number = 718 best_so_far = [13.08123108 21.09313125] new_best = 616.25131\n",
"iteration Number = 719 best_so_far = [13.07563742 21.08074289] new_best = 615.54879\n",
"iteration Number = 722 best_so_far = [13.06340102 21.07323203] new_best = 614.87611\n",
"iteration Number = 726 best_so_far = [13.03813294 21.00893466] new_best = 611.39374\n",
"iteration Number = 727 best_so_far = [13.04646348 20.99088752] new_best = 610.86465\n",
"iteration Number = 730 best_so_far = [12.98980666 20.85366042] new_best = 603.80539\n",
"iteration Number = 731 best_so_far = [12.88522775 20.86820132] new_best = 601.84724\n",
"iteration Number = 732 best_so_far = [12.86368899 20.84183215] new_best = 600.23982\n",
"iteration Number = 736 best_so_far = [12.86006434 20.77253706] new_best = 597.20763\n",
"iteration Number = 737 best_so_far = [12.82502284 20.69241548] new_best = 592.86695\n",
"iteration Number = 741 best_so_far = [12.74036612 20.72495119] new_best = 591.97527\n",
"iteration Number = 742 best_so_far = [12.74917801 20.64505479] new_best = 588.86621\n",
"iteration Number = 748 best_so_far = [12.69356462 20.65673346] new_best = 587.84143\n",
"iteration Number = 750 best_so_far = [12.63838855 20.62457329] new_best = 585.14680\n",
"iteration Number = 753 best_so_far = [12.60559734 20.60605227] new_best = 583.62989\n",
"iteration Number = 754 best_so_far = [12.64352188 20.50750764] new_best = 580.62534\n",
"iteration Number = 755 best_so_far = [12.62766086 20.48522908] new_best = 579.32456\n",
"iteration Number = 756 best_so_far = [12.6909738 20.34656092] new_best = 575.05618\n",
"iteration Number = 759 best_so_far = [12.562327 20.30320555] new_best = 570.18774\n",
"iteration Number = 760 best_so_far = [12.53303595 20.26769643] new_best = 568.10647\n",
"iteration Number = 761 best_so_far = [12.57810951 20.22372818] new_best = 567.46705\n",
"iteration Number = 762 best_so_far = [12.57186335 20.21445859] new_best = 566.96119\n",
"iteration Number = 763 best_so_far = [12.47735802 20.15821346] new_best = 562.42732\n",
"iteration Number = 764 best_so_far = [12.47475863 20.13364452] new_best = 561.35241\n",
"iteration Number = 766 best_so_far = [12.51224462 20.10709872] new_best = 561.19149\n",
"iteration Number = 767 best_so_far = [12.53514085 20.0357043 ] new_best = 558.75960\n",
"iteration Number = 770 best_so_far = [12.41618447 19.98765034] new_best = 553.76916\n",
"iteration Number = 771 best_so_far = [12.45064544 19.9636991 ] new_best = 553.75027\n",
"iteration Number = 777 best_so_far = [12.37604376 19.93815198] new_best = 550.78818\n",
"iteration Number = 779 best_so_far = [12.37892993 19.92009952] new_best = 550.17711\n",
"iteration Number = 783 best_so_far = [12.34208874 19.90141702] new_best = 548.52421\n",
"iteration Number = 784 best_so_far = [12.29791588 19.87964049] new_best = 546.62584\n",
"iteration Number = 787 best_so_far = [12.33055424 19.79397301] new_best = 544.01708\n",
"iteration Number = 789 best_so_far = [12.36140503 19.7497665 ] new_best = 542.96940\n",
"iteration Number = 794 best_so_far = [12.36069214 19.7335914 ] new_best = 542.28253\n",
"iteration Number = 795 best_so_far = [12.31753482 19.6888753 ] new_best = 539.38627\n",
"iteration Number = 796 best_so_far = [12.36187245 19.60999929] new_best = 537.43452\n",
"iteration Number = 797 best_so_far = [12.35876117 19.58827507] new_best = 536.54223\n",
"iteration Number = 798 best_so_far = [12.26215639 19.62197166] new_best = 535.49446\n",
"iteration Number = 799 best_so_far = [12.2001279 19.62832312] new_best = 534.32108\n",
"iteration Number = 801 best_so_far = [12.15675382 19.64732414] new_best = 534.00911\n",
"iteration Number = 803 best_so_far = [12.11435309 19.62407644] new_best = 532.04788\n",
"iteration Number = 805 best_so_far = [12.11238552 19.51353366] new_best = 527.83640\n",
"iteration Number = 810 best_so_far = [12.09001806 19.48431372] new_best = 526.11426\n",
"iteration Number = 812 best_so_far = [12.14674652 19.43579725] new_best = 525.62072\n",
"iteration Number = 815 best_so_far = [12.1367154 19.40895371] new_best = 524.27591\n",
"iteration Number = 818 best_so_far = [12.09409932 19.41378553] new_best = 523.37530\n",
"iteration Number = 821 best_so_far = [12.1140727 19.343927 ] new_best = 521.09424\n",
"iteration Number = 824 best_so_far = [12.03859778 19.33064396] new_best = 518.62670\n",
"iteration Number = 826 best_so_far = [12.0410603 19.32872514] new_best = 518.61524\n",
"iteration Number = 828 best_so_far = [12.06448551 19.28896949] new_best = 517.71452\n",
"iteration Number = 829 best_so_far = [11.99430701 19.28333626] new_best = 515.75319\n",
"iteration Number = 832 best_so_far = [11.97375357 19.22136069] new_best = 512.99610\n",
"iteration Number = 833 best_so_far = [11.99667096 19.19622183] new_best = 512.60073\n",
"iteration Number = 834 best_so_far = [11.89958782 19.20204483] new_best = 510.63021\n",
"iteration Number = 836 best_so_far = [11.84929938 19.09301812] new_best = 505.26204\n",
"iteration Number = 840 best_so_far = [11.77590571 18.98323331] new_best = 499.18672\n",
"iteration Number = 842 best_so_far = [11.82249538 18.90261214] new_best = 497.40512\n",
"iteration Number = 845 best_so_far = [11.85764642 18.87501765] new_best = 497.23147\n",
"iteration Number = 846 best_so_far = [11.79102085 18.89462431] new_best = 496.34570\n",
"iteration Number = 849 best_so_far = [11.80423444 18.8822559 ] new_best = 496.22577\n",
"iteration Number = 851 best_so_far = [11.83560991 18.84351906] new_best = 495.55816\n",
"iteration Number = 853 best_so_far = [11.80708029 18.83269336] new_best = 494.46515\n",
"iteration Number = 856 best_so_far = [11.75222202 18.80275591] new_best = 491.94516\n",
"iteration Number = 857 best_so_far = [11.66698568 18.78644502] new_best = 489.21168\n",
"iteration Number = 858 best_so_far = [11.55686951 18.79164081] new_best = 487.00533\n",
"iteration Number = 861 best_so_far = [11.55256543 18.76609501] new_best = 485.91230\n",
"iteration Number = 862 best_so_far = [11.51285382 18.67034218] new_best = 481.32488\n",
"iteration Number = 863 best_so_far = [11.46160217 18.6952952 ] new_best = 481.07058\n",
"iteration Number = 865 best_so_far = [11.43059688 18.6808491 ] new_best = 479.76129\n",
"iteration Number = 867 best_so_far = [11.42408714 18.65049723] new_best = 478.46905\n",
"iteration Number = 868 best_so_far = [11.37580005 18.65964863] new_best = 477.62224\n",
"iteration Number = 871 best_so_far = [11.34302199 18.63979326] new_best = 476.12066\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"iteration Number = 876 best_so_far = [11.36219764 18.60052527] new_best = 475.16233\n",
"iteration Number = 877 best_so_far = [11.37105823 18.58777409] new_best = 474.92280\n",
"iteration Number = 878 best_so_far = [11.41931069 18.54717067] new_best = 474.66635\n",
"iteration Number = 879 best_so_far = [11.44150542 18.5209502 ] new_best = 474.27090\n",
"iteration Number = 881 best_so_far = [11.37854712 18.52917024] new_best = 473.02098\n",
"iteration Number = 882 best_so_far = [11.39920957 18.48172193] new_best = 471.77688\n",
"iteration Number = 887 best_so_far = [11.36755426 18.43875804] new_best = 469.36831\n",
"iteration Number = 888 best_so_far = [11.32854708 18.4049715 ] new_best = 467.15656\n",
"iteration Number = 889 best_so_far = [11.34423399 18.34025049] new_best = 465.05913\n",
"iteration Number = 891 best_so_far = [11.33964822 18.28655284] new_best = 463.02348\n",
"iteration Number = 892 best_so_far = [11.33874973 18.2869242 ] new_best = 463.01597\n",
"iteration Number = 895 best_so_far = [11.29463379 18.31321101] new_best = 462.97581\n",
"iteration Number = 899 best_so_far = [11.27157276 18.30471403] new_best = 462.18666\n",
"iteration Number = 900 best_so_far = [11.26568412 18.20784477] new_best = 458.68478\n",
"iteration Number = 902 best_so_far = [11.24994193 18.17039142] new_best = 457.02487\n",
"iteration Number = 903 best_so_far = [11.18381097 18.12724495] new_best = 454.04261\n",
"iteration Number = 904 best_so_far = [11.18275814 18.11676409] new_best = 453.62495\n",
"iteration Number = 906 best_so_far = [11.17976286 18.07917994] new_best = 452.13214\n",
"iteration Number = 908 best_so_far = [11.10970561 18.09239003] new_best = 451.02328\n",
"iteration Number = 909 best_so_far = [11.13501205 18.07191864] new_best = 450.84278\n",
"iteration Number = 910 best_so_far = [11.13235039 18.05080051] new_best = 449.98168\n",
"iteration Number = 911 best_so_far = [11.15789805 17.98342435] new_best = 448.10593\n",
"iteration Number = 912 best_so_far = [11.13048653 17.9494964 ] new_best = 446.29220\n",
"iteration Number = 913 best_so_far = [11.00723052 17.98039971] new_best = 444.46186\n",
"iteration Number = 915 best_so_far = [10.9496927 17.91468668] new_best = 440.97868\n",
"iteration Number = 916 best_so_far = [10.96957564 17.88996745] new_best = 440.54795\n",
"iteration Number = 917 best_so_far = [10.93040379 17.8319569 ] new_best = 437.72733\n",
"iteration Number = 918 best_so_far = [10.85180869 17.86454349] new_best = 437.28160\n",
"iteration Number = 920 best_so_far = [10.85571776 17.78968831] new_best = 434.67839\n",
"iteration Number = 924 best_so_far = [10.80644105 17.76568154] new_best = 432.71392\n",
"iteration Number = 926 best_so_far = [10.74116603 17.68590695] new_best = 428.25295\n",
"iteration Number = 927 best_so_far = [10.74597026 17.61804069] new_best = 426.00298\n",
"iteration Number = 929 best_so_far = [10.6833942 17.54546651] new_best = 422.14926\n",
"iteration Number = 930 best_so_far = [10.64460319 17.51307758] new_best = 420.22144\n",
"iteration Number = 932 best_so_far = [10.61089656 17.50513881] new_best = 419.27149\n",
"iteration Number = 933 best_so_far = [10.62165262 17.47944619] new_best = 418.57709\n",
"iteration Number = 936 best_so_far = [10.61974837 17.47004997] new_best = 418.20274\n",
"iteration Number = 938 best_so_far = [10.60678906 17.43823317] new_best = 416.79235\n",
"iteration Number = 940 best_so_far = [10.62073221 17.39834436] new_best = 415.60323\n",
"iteration Number = 941 best_so_far = [10.61994188 17.38008885] new_best = 414.92310\n",
"iteration Number = 943 best_so_far = [10.61747898 17.30459048] new_best = 412.23500\n",
"iteration Number = 945 best_so_far = [10.59113564 17.23376953] new_best = 409.39193\n",
"iteration Number = 946 best_so_far = [10.48371944 17.23168705] new_best = 407.16930\n",
"iteration Number = 950 best_so_far = [10.45464292 17.20873479] new_best = 405.77615\n",
"iteration Number = 951 best_so_far = [10.44013548 17.16130712] new_best = 403.84856\n",
"iteration Number = 952 best_so_far = [10.41771618 17.12797971] new_best = 402.17183\n",
"iteration Number = 954 best_so_far = [10.42122427 17.05162631] new_best = 399.51083\n",
"iteration Number = 957 best_so_far = [10.35161184 17.0691958 ] new_best = 398.59175\n",
"iteration Number = 959 best_so_far = [10.40207283 16.99375855] new_best = 397.06404\n",
"iteration Number = 960 best_so_far = [10.41402482 16.92447045] new_best = 395.07033\n",
"iteration Number = 961 best_so_far = [10.4464147 16.86401678] new_best = 393.85957\n",
"iteration Number = 962 best_so_far = [10.49795867 16.79507356] new_best = 392.65602\n",
"iteration Number = 963 best_so_far = [10.48618637 16.79492922] new_best = 392.40053\n",
"iteration Number = 965 best_so_far = [10.52006052 16.75067357] new_best = 391.55023\n",
"iteration Number = 976 best_so_far = [10.433652 16.74407901] new_best = 389.44414\n",
"iteration Number = 978 best_so_far = [10.34475202 16.74817288] new_best = 387.61300\n",
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"iteration Number = 981 best_so_far = [10.35518649 16.60189445] new_best = 382.92751\n",
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"iteration Number = 984 best_so_far = [10.23928936 16.59313862] new_best = 380.37844\n",
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"iteration Number = 987 best_so_far = [10.28713347 16.37885284] new_best = 374.16188\n",
"iteration Number = 988 best_so_far = [10.35255193 16.2648654 ] new_best = 371.80068\n",
"iteration Number = 989 best_so_far = [10.33970606 16.21069289] new_best = 369.86490\n",
"iteration Number = 990 best_so_far = [10.37216625 16.18776853] new_best = 369.84345\n",
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"iteration Number = 1024 best_so_far = [ 9.71296675 15.6818629 ] new_best = 340.30169\n",
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"iteration Number = 1115 best_so_far = [ 8.79911218 14.1468741 ] new_best = 277.93087\n",
"iteration Number = 1116 best_so_far = [ 8.74761298 14.12357806] new_best = 276.25942\n",
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"iteration Number = 1143 best_so_far = [ 8.81106269 13.77925672] new_best = 267.84560\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"iteration Number = 1146 best_so_far = [ 8.78623343 13.7209944 ] new_best = 265.67368\n",
"iteration Number = 1148 best_so_far = [ 8.85519438 13.66217641] new_best = 265.26178\n",
"iteration Number = 1149 best_so_far = [ 8.74838539 13.62105349] new_best = 262.19913\n",
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"iteration Number = 1159 best_so_far = [ 8.53829933 13.6403821 ] new_best = 259.15033\n",
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"iteration Number = 1170 best_so_far = [ 8.35390293 13.5132708 ] new_best = 252.60050\n",
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"iteration Number = 1192 best_so_far = [ 8.13205529 13.09584187] new_best = 237.93324\n",
"iteration Number = 1195 best_so_far = [ 8.23243472 13.00960045] new_best = 237.15713\n",
"iteration Number = 1198 best_so_far = [ 8.19758086 12.97344504] new_best = 235.70697\n",
"iteration Number = 1199 best_so_far = [ 8.19614616 12.93599456] new_best = 234.76700\n",
"iteration Number = 1203 best_so_far = [ 8.14770794 12.90161276] new_best = 233.15896\n",
"iteration Number = 1204 best_so_far = [ 8.12210653 12.88191433] new_best = 232.24023\n",
"iteration Number = 1205 best_so_far = [ 8.08801505 12.90264098] new_best = 232.12932\n",
"iteration Number = 1206 best_so_far = [ 8.00955438 12.83130149] new_best = 228.99669\n",
"iteration Number = 1210 best_so_far = [ 8.01317564 12.76633126] new_best = 227.32278\n",
"iteration Number = 1212 best_so_far = [ 7.98033999 12.72838519] new_best = 225.76429\n",
"iteration Number = 1213 best_so_far = [ 7.95235616 12.72364641] new_best = 225.22090\n",
"iteration Number = 1214 best_so_far = [ 7.85781862 12.75571152] new_best = 224.75326\n",
"iteration Number = 1215 best_so_far = [ 7.76917804 12.66848265] new_best = 220.98558\n",
"iteration Number = 1216 best_so_far = [ 7.79101953 12.63816274] new_best = 220.60713\n",
"iteration Number = 1217 best_so_far = [ 7.7709836 12.61225663] new_best = 219.64408\n",
"iteration Number = 1218 best_so_far = [ 7.76167805 12.61093344] new_best = 219.45160\n",
"iteration Number = 1221 best_so_far = [ 7.80111999 12.56953224] new_best = 219.15889\n",
"iteration Number = 1222 best_so_far = [ 7.84920399 12.44036462] new_best = 216.71094\n",
"iteration Number = 1224 best_so_far = [ 7.81490928 12.40818525] new_best = 215.31315\n",
"iteration Number = 1225 best_so_far = [ 7.85270523 12.35893291] new_best = 214.61287\n",
"iteration Number = 1227 best_so_far = [ 7.85020276 12.34637002] new_best = 214.25650\n",
"iteration Number = 1228 best_so_far = [ 7.85215039 12.33174883] new_best = 213.92229\n",
"iteration Number = 1229 best_so_far = [ 7.80431099 12.34317883] new_best = 213.44811\n",
"iteration Number = 1230 best_so_far = [ 7.70916115 12.30357238] new_best = 210.85485\n",
"iteration Number = 1231 best_so_far = [ 7.61806529 12.2745253 ] new_best = 208.79435\n",
"iteration Number = 1234 best_so_far = [ 7.57319084 12.21529162] new_best = 206.84738\n",
"iteration Number = 1239 best_so_far = [ 7.62430814 12.1546608 ] new_best = 206.09367\n",
"iteration Number = 1240 best_so_far = [ 7.59074391 12.09921724] new_best = 204.22580\n",
"iteration Number = 1241 best_so_far = [ 7.49842312 12.10816882] new_best = 203.17856\n",
"iteration Number = 1243 best_so_far = [ 7.44314957 12.06592424] new_best = 201.20165\n",
"iteration Number = 1244 best_so_far = [ 7.47820888 12.04291228] new_best = 201.17735\n",
"iteration Number = 1246 best_so_far = [ 7.45481498 12.00838213] new_best = 199.94221\n",
"iteration Number = 1251 best_so_far = [ 7.40001699 11.97633757] new_best = 198.27172\n",
"iteration Number = 1252 best_so_far = [ 7.33599522 11.95213256] new_best = 196.70895\n",
"iteration Number = 1253 best_so_far = [ 7.2339864 11.87627345] new_best = 193.67601\n",
"iteration Number = 1256 best_so_far = [ 7.15466193 11.92358518] new_best = 193.64608\n",
"iteration Number = 1257 best_so_far = [ 7.0060918 11.97667997] new_best = 192.53659\n",
"iteration Number = 1258 best_so_far = [ 6.95556231 11.93694642] new_best = 190.96722\n",
"iteration Number = 1259 best_so_far = [ 6.87684798 11.84971362] new_best = 188.07070\n",
"iteration Number = 1260 best_so_far = [ 6.92507304 11.653334 ] new_best = 183.84474\n",
"iteration Number = 1262 best_so_far = [ 6.84364808 11.66024731] new_best = 182.99589\n",
"iteration Number = 1263 best_so_far = [ 6.8890651 11.58459752] new_best = 181.91042\n",
"iteration Number = 1264 best_so_far = [ 6.83470176 11.60901894] new_best = 181.73647\n",
"iteration Number = 1265 best_so_far = [ 6.77294704 11.61368623] new_best = 180.93850\n",
"iteration Number = 1268 best_so_far = [ 6.72070737 11.64672112] new_best = 180.86847\n",
"iteration Number = 1269 best_so_far = [ 6.69390268 11.5607311 ] new_best = 178.61346\n",
"iteration Number = 1271 best_so_far = [ 6.66934661 11.57375168] new_best = 178.55062\n",
"iteration Number = 1272 best_so_far = [ 6.63209781 11.54017357] new_best = 177.35415\n",
"iteration Number = 1274 best_so_far = [ 6.65073998 11.50122549] new_best = 176.71510\n",
"iteration Number = 1276 best_so_far = [ 6.59609553 11.46893025] new_best = 175.30435\n",
"iteration Number = 1277 best_so_far = [ 6.60139417 11.46054156] new_best = 175.16253\n",
"iteration Number = 1278 best_so_far = [ 6.59900041 11.33277788] new_best = 172.04992\n",
"iteration Number = 1279 best_so_far = [ 6.56032168 11.308878 ] new_best = 171.08162\n",
"iteration Number = 1280 best_so_far = [ 6.51439039 11.25923978] new_best = 169.48749\n",
"iteration Number = 1283 best_so_far = [ 6.47543472 11.22770468] new_best = 168.32328\n",
"iteration Number = 1286 best_so_far = [ 6.41695085 11.15618429] new_best = 165.93582\n",
"iteration Number = 1288 best_so_far = [ 6.4381844 11.10675499] new_best = 165.09152\n",
"iteration Number = 1290 best_so_far = [ 6.40791526 11.06406161] new_best = 163.62196\n",
"iteration Number = 1292 best_so_far = [ 6.29895979 11.04705806] new_best = 161.77122\n",
"iteration Number = 1296 best_so_far = [ 6.33807176 10.98078905] new_best = 160.75595\n",
"iteration Number = 1299 best_so_far = [ 6.35228052 10.94589931] new_best = 160.21853\n",
"iteration Number = 1300 best_so_far = [ 6.30005625 10.94519558] new_best = 159.55656\n",
"iteration Number = 1301 best_so_far = [ 6.24034415 10.91147744] new_best = 158.23105\n",
"iteration Number = 1302 best_so_far = [ 6.22760588 10.82958091] new_best = 156.40389\n",
"iteration Number = 1303 best_so_far = [ 6.35141836 10.75171305] new_best = 156.04812\n",
"iteration Number = 1305 best_so_far = [ 6.34312185 10.7348929 ] new_best = 155.54609\n",
"iteration Number = 1306 best_so_far = [ 6.33174354 10.66859464] new_best = 153.90999\n",
"iteration Number = 1307 best_so_far = [ 6.4321164 10.56672208] new_best = 153.28747\n",
"iteration Number = 1311 best_so_far = [ 6.40159338 10.48404854] new_best = 151.16264\n",
"iteration Number = 1314 best_so_far = [ 6.1960181 10.47860024] new_best = 148.56871\n",
"iteration Number = 1316 best_so_far = [ 6.15901777 10.40567122] new_best = 146.48926\n",
"iteration Number = 1318 best_so_far = [ 6.15904919 10.38852436] new_best = 146.10316\n",
"iteration Number = 1320 best_so_far = [ 6.17637311 10.36121081] new_best = 145.71387\n",
"iteration Number = 1322 best_so_far = [ 6.11746069 10.31647365] new_best = 144.01785\n",
"iteration Number = 1324 best_so_far = [ 6.13054561 10.30166244] new_best = 143.90295\n",
"iteration Number = 1325 best_so_far = [ 6.15720623 10.2506268 ] new_best = 143.28428\n",
"iteration Number = 1327 best_so_far = [ 6.15925774 10.20912277] new_best = 142.53168\n",
"iteration Number = 1328 best_so_far = [ 6.19893698 10.14639219] new_best = 141.75093\n",
"iteration Number = 1329 best_so_far = [ 6.21463466 10.11837337] new_best = 141.32617\n",
"iteration Number = 1331 best_so_far = [ 6.10020458 10.11315176] new_best = 139.77210\n",
"iteration Number = 1332 best_so_far = [ 6.04563832 10.03576988] new_best = 137.32248\n",
"iteration Number = 1334 best_so_far = [ 6.01459494 10.02376508] new_best = 136.66452\n",
"iteration Number = 1335 best_so_far = [5.96755282 9.95980594] new_best = 134.85548\n",
"iteration Number = 1336 best_so_far = [5.96539004 9.91117713] new_best = 133.94893\n",
"iteration Number = 1346 best_so_far = [5.9832317 9.84473827] new_best = 132.92080\n",
"iteration Number = 1347 best_so_far = [6.01768046 9.81997295] new_best = 132.84645\n",
"iteration Number = 1348 best_so_far = [5.97762846 9.80115655] new_best = 131.98546\n",
"iteration Number = 1349 best_so_far = [5.95756137 9.67979503] new_best = 129.22445\n",
"iteration Number = 1350 best_so_far = [5.90826794 9.61467558] new_best = 127.51045\n",
"iteration Number = 1352 best_so_far = [5.83765712 9.58064089] new_best = 126.17222\n",
"iteration Number = 1355 best_so_far = [5.84313494 9.56378042] new_best = 125.94300\n",
"iteration Number = 1357 best_so_far = [5.84618138 9.54549515] new_best = 125.65730\n",
"iteration Number = 1358 best_so_far = [5.78990612 9.45731139] new_best = 123.30080\n",
"iteration Number = 1366 best_so_far = [5.79314489 9.44488789] new_best = 123.08914\n",
"iteration Number = 1367 best_so_far = [5.81468709 9.4031124 ] new_best = 122.49711\n",
"iteration Number = 1369 best_so_far = [5.75607647 9.38301548] new_best = 121.32483\n",
"iteration Number = 1372 best_so_far = [5.7597388 9.37493155] new_best = 121.21070\n",
"iteration Number = 1373 best_so_far = [5.74355889 9.36869547] new_best = 120.86958\n",
"iteration Number = 1375 best_so_far = [5.79290367 9.29530357] new_best = 120.15747\n",
"iteration Number = 1376 best_so_far = [5.76160273 9.27981868] new_best = 119.47963\n",
"iteration Number = 1377 best_so_far = [5.70044341 9.26954217] new_best = 118.50334\n",
"iteration Number = 1380 best_so_far = [5.54314668 9.24536304] new_best = 116.48139\n",
"iteration Number = 1388 best_so_far = [5.54826532 9.2254872 ] new_best = 116.19953\n",
"iteration Number = 1390 best_so_far = [5.53532804 9.19179273] new_best = 115.49696\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"iteration Number = 1393 best_so_far = [5.45619203 9.16047042] new_best = 114.05108\n",
"iteration Number = 1394 best_so_far = [5.38601809 9.16814834] new_best = 113.30925\n",
"iteration Number = 1396 best_so_far = [5.34459366 9.10994631] new_best = 111.70563\n",
"iteration Number = 1397 best_so_far = [5.31709908 9.09987817] new_best = 111.21426\n",
"iteration Number = 1399 best_so_far = [5.3075077 9.07521874] new_best = 110.62525\n",
"iteration Number = 1400 best_so_far = [5.32619399 9.05447194] new_best = 110.40056\n",
"iteration Number = 1401 best_so_far = [5.31132279 9.02712161] new_best = 109.72022\n",
"iteration Number = 1403 best_so_far = [5.24887822 9.04291282] new_best = 109.45801\n",
"iteration Number = 1404 best_so_far = [5.25007617 9.0263499 ] new_best = 109.15029\n",
"iteration Number = 1405 best_so_far = [5.20806943 9.03958697] new_best = 109.03562\n",
"iteration Number = 1407 best_so_far = [5.14205621 9.04007322] new_best = 108.37982\n",
"iteration Number = 1408 best_so_far = [5.10203352 8.94077554] new_best = 106.15902\n",
"iteration Number = 1410 best_so_far = [5.04032546 8.85943635] new_best = 104.11019\n",
"iteration Number = 1412 best_so_far = [5.0069787 8.83092803] new_best = 103.25583\n",
"iteration Number = 1413 best_so_far = [5.03600678 8.80784018] new_best = 103.14985\n",
"iteration Number = 1415 best_so_far = [5.04036973 8.80220205] new_best = 103.09448\n",
"iteration Number = 1416 best_so_far = [4.99197035 8.7652854 ] new_best = 101.87913\n",
"iteration Number = 1417 best_so_far = [4.94897729 8.74159261] new_best = 101.03457\n",
"iteration Number = 1418 best_so_far = [4.87799186 8.76137794] new_best = 100.84417\n",
"iteration Number = 1420 best_so_far = [4.84907623 8.75845247] new_best = 100.53512\n",
"iteration Number = 1423 best_so_far = [4.80285536 8.73113417] new_best = 99.54865\n",
"iteration Number = 1425 best_so_far = [4.78139354 8.72217666] new_best = 99.14316\n",
"iteration Number = 1426 best_so_far = [4.76671916 8.67991059] new_best = 98.19619\n",
"iteration Number = 1427 best_so_far = [4.79934521 8.62798279] new_best = 97.68156\n",
"iteration Number = 1435 best_so_far = [4.70464261 8.56273311] new_best = 95.61674\n",
"iteration Number = 1438 best_so_far = [4.62059137 8.55049229] new_best = 94.65479\n",
"iteration Number = 1439 best_so_far = [4.59171904 8.56235134] new_best = 94.62122\n",
"iteration Number = 1441 best_so_far = [4.57738481 8.54686176] new_best = 94.27656\n",
"iteration Number = 1442 best_so_far = [4.56394933 8.53550576] new_best = 93.99918\n",
"iteration Number = 1443 best_so_far = [4.6031267 8.48783299] new_best = 93.49315\n",
"iteration Number = 1446 best_so_far = [4.6435519 8.46145047] new_best = 93.34260\n",
"iteration Number = 1447 best_so_far = [4.66659585 8.41337636] new_best = 92.65535\n",
"iteration Number = 1448 best_so_far = [4.68684252 8.36018318] new_best = 91.87852\n",
"iteration Number = 1449 best_so_far = [4.61640467 8.38591781] new_best = 91.72148\n",
"iteration Number = 1451 best_so_far = [4.55935123 8.28523351] new_best = 89.61541\n",
"iteration Number = 1453 best_so_far = [4.56572703 8.27787102] new_best = 89.55208\n",
"iteration Number = 1454 best_so_far = [4.52530844 8.26282572] new_best = 89.01816\n",
"iteration Number = 1460 best_so_far = [4.56684119 8.23529084] new_best = 88.93470\n",
"iteration Number = 1461 best_so_far = [4.50311587 8.18875815] new_best = 87.72529\n",
"iteration Number = 1462 best_so_far = [4.58436895 8.12673174] new_best = 87.33118\n",
"iteration Number = 1465 best_so_far = [4.63261891 8.08284752] new_best = 86.91227\n",
"iteration Number = 1467 best_so_far = [4.54667678 8.0814641 ] new_best = 86.24228\n",
"iteration Number = 1470 best_so_far = [4.46449397 8.04215259] new_best = 84.81582\n",
"iteration Number = 1471 best_so_far = [4.49048307 8.02100424] new_best = 84.70686\n",
"iteration Number = 1472 best_so_far = [4.38952108 8.01523252] new_best = 83.56664\n",
"iteration Number = 1473 best_so_far = [4.31673544 7.96679414] new_best = 82.12816\n",
"iteration Number = 1476 best_so_far = [4.32054209 7.96028111] new_best = 82.06315\n",
"iteration Number = 1477 best_so_far = [4.22796839 7.91778886] new_best = 80.80598\n",
"iteration Number = 1479 best_so_far = [4.17697601 7.8568479 ] new_best = 79.56587\n",
"iteration Number = 1481 best_so_far = [4.23415699 7.78459545] new_best = 78.81800\n",
"iteration Number = 1482 best_so_far = [4.27520307 7.76045726] new_best = 78.67569\n",
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"iteration Number = 1486 best_so_far = [4.27309689 7.70994668] new_best = 77.79184\n",
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"iteration Number = 1488 best_so_far = [4.240867 7.63588053] new_best = 76.42559\n",
"iteration Number = 1490 best_so_far = [4.26461426 7.60578024] new_best = 76.16718\n",
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"iteration Number = 1493 best_so_far = [4.28715518 7.47776866] new_best = 74.52363\n",
"iteration Number = 1496 best_so_far = [4.37003745 7.3942314 ] new_best = 73.85331\n",
"iteration Number = 1500 best_so_far = [4.35673392 7.35243613] new_best = 73.05519\n",
"iteration Number = 1502 best_so_far = [4.37944448 7.32468496] new_best = 72.86720\n",
"iteration Number = 1503 best_so_far = [4.35824623 7.21635955] new_best = 71.24044\n",
"iteration Number = 1505 best_so_far = [4.35460514 7.18062068] new_best = 70.72840\n",
"iteration Number = 1508 best_so_far = [4.36250614 7.11950509] new_best = 69.89614\n",
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"iteration Number = 1524 best_so_far = [4.01097693 6.8487936 ] new_best = 63.19189\n",
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"iteration Number = 1539 best_so_far = [3.84567603 6.579874 ] new_best = 58.38820\n",
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"iteration Number = 1573 best_so_far = [3.57884838 5.80760003] new_best = 46.83333\n",
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"iteration Number = 1580 best_so_far = [3.50965131 5.73308698] new_best = 45.45268\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"iteration Number = 1583 best_so_far = [3.50798186 5.73228126] new_best = 45.43080\n",
"iteration Number = 1584 best_so_far = [3.46118162 5.69683274] new_best = 44.62352\n",
"iteration Number = 1585 best_so_far = [3.40700913 5.66112893] new_best = 43.73838\n",
"iteration Number = 1586 best_so_far = [3.32911143 5.70169519] new_best = 43.61347\n",
"iteration Number = 1587 best_so_far = [3.28643414 5.7177318 ] new_best = 43.57244\n",
"iteration Number = 1589 best_so_far = [3.32163639 5.69543793] new_best = 43.48793\n",
"iteration Number = 1590 best_so_far = [3.3983046 5.58234765] new_best = 42.87915\n",
"iteration Number = 1595 best_so_far = [3.35707963 5.58337111] new_best = 42.55403\n",
"iteration Number = 1596 best_so_far = [3.34041117 5.58595177] new_best = 42.45744\n",
"iteration Number = 1599 best_so_far = [3.31320932 5.58305434] new_best = 42.25586\n",
"iteration Number = 1600 best_so_far = [3.28071104 5.55269296] new_best = 41.79576\n",
"iteration Number = 1604 best_so_far = [3.34452474 5.46245872] new_best = 41.20227\n",
"iteration Number = 1606 best_so_far = [3.38567733 5.42306645] new_best = 41.02889\n",
"iteration Number = 1607 best_so_far = [3.32846319 5.37503745] new_best = 39.99926\n",
"iteration Number = 1608 best_so_far = [3.29261397 5.38215657] new_best = 39.87629\n",
"iteration Number = 1609 best_so_far = [3.31067745 5.32391586] new_best = 39.31535\n",
"iteration Number = 1611 best_so_far = [3.30677011 5.27790101] new_best = 38.85338\n",
"iteration Number = 1613 best_so_far = [3.22360712 5.21189655] new_best = 37.86941\n",
"iteration Number = 1614 best_so_far = [3.20210057 5.18141677] new_best = 37.47539\n",
"iteration Number = 1615 best_so_far = [3.18233521 5.17653396] new_best = 37.31781\n",
"iteration Number = 1617 best_so_far = [3.25770987 5.13340843] new_best = 37.23107\n",
"iteration Number = 1619 best_so_far = [3.20801671 5.0964235 ] new_best = 36.56031\n",
"iteration Number = 1620 best_so_far = [3.02768639 5.07387942] new_best = 35.00636\n",
"iteration Number = 1622 best_so_far = [3.02516728 5.01724384] new_best = 34.34049\n",
"iteration Number = 1623 best_so_far = [3.02194352 4.98305539] new_best = 33.97649\n",
"iteration Number = 1624 best_so_far = [3.0064891 4.89012998] new_best = 33.10127\n",
"iteration Number = 1625 best_so_far = [2.96941617 4.84681857] new_best = 32.52219\n",
"iteration Number = 1628 best_so_far = [2.92939066 4.80589567] new_best = 31.94116\n",
"iteration Number = 1630 best_so_far = [2.95345302 4.78407359] new_best = 31.80614\n",
"iteration Number = 1631 best_so_far = [2.92002891 4.72092443] new_best = 30.95520\n",
"iteration Number = 1633 best_so_far = [2.89324217 4.69793894] new_best = 30.60109\n",
"iteration Number = 1634 best_so_far = [2.87887426 4.66023963] new_best = 30.17200\n",
"iteration Number = 1635 best_so_far = [2.87859791 4.56183392] new_best = 29.40219\n",
"iteration Number = 1638 best_so_far = [2.87948733 4.47542488] new_best = 28.67483\n",
"iteration Number = 1640 best_so_far = [2.79247758 4.4395859 ] new_best = 27.82118\n",
"iteration Number = 1641 best_so_far = [2.72666904 4.43964132] new_best = 27.34417\n",
"iteration Number = 1642 best_so_far = [2.60386676 4.43761589] new_best = 26.67319\n",
"iteration Number = 1644 best_so_far = [2.64916468 4.37940819] new_best = 26.23795\n",
"iteration Number = 1646 best_so_far = [2.62788302 4.38666943] new_best = 26.22050\n",
"iteration Number = 1647 best_so_far = [2.5157589 4.32249673] new_best = 25.21081\n",
"iteration Number = 1648 best_so_far = [2.5261803 4.310682 ] new_best = 25.16078\n",
"iteration Number = 1651 best_so_far = [2.51525081 4.25843656] new_best = 24.74110\n",
"iteration Number = 1655 best_so_far = [2.43309605 4.19432431] new_best = 23.82949\n",
"iteration Number = 1656 best_so_far = [2.46731734 4.10243028] new_best = 23.23414\n",
"iteration Number = 1660 best_so_far = [2.43304513 4.0887683 ] new_best = 22.87799\n",
"iteration Number = 1661 best_so_far = [2.46624663 4.03551583] new_best = 22.56956\n",
"iteration Number = 1664 best_so_far = [2.44989325 3.95285216] new_best = 21.82265\n",
"iteration Number = 1668 best_so_far = [2.4015452 3.95099678] new_best = 21.48944\n",
"iteration Number = 1669 best_so_far = [2.39752853 3.91466014] new_best = 21.24128\n",
"iteration Number = 1670 best_so_far = [2.3713027 3.91661437] new_best = 21.08771\n",
"iteration Number = 1672 best_so_far = [2.23129561 3.8435447 ] new_best = 20.08436\n",
"iteration Number = 1673 best_so_far = [2.2955531 3.80715175] new_best = 19.97632\n",
"iteration Number = 1674 best_so_far = [2.21471135 3.74119405] new_best = 19.14657\n",
"iteration Number = 1678 best_so_far = [2.1577355 3.7103665] new_best = 18.65311\n",
"iteration Number = 1679 best_so_far = [2.10090018 3.71201579] new_best = 18.35945\n",
"iteration Number = 1682 best_so_far = [2.11406243 3.6600396 ] new_best = 18.02059\n",
"iteration Number = 1683 best_so_far = [2.10633036 3.61961324] new_best = 17.71710\n",
"iteration Number = 1684 best_so_far = [2.02623509 3.57389832] new_best = 17.00819\n",
"iteration Number = 1685 best_so_far = [2.07779197 3.50266258] new_best = 16.87521\n",
"iteration Number = 1686 best_so_far = [1.98567574 3.5174687 ] new_best = 16.51384\n",
"iteration Number = 1688 best_so_far = [1.96660884 3.506491 ] new_best = 16.38153\n",
"iteration Number = 1691 best_so_far = [1.90341279 3.52613227] new_best = 16.36962\n",
"iteration Number = 1692 best_so_far = [1.88460545 3.48455522] new_best = 16.04651\n",
"iteration Number = 1694 best_so_far = [1.85066296 3.40140128] new_best = 15.26067\n",
"iteration Number = 1695 best_so_far = [1.85460008 3.35680034] new_best = 14.90931\n",
"iteration Number = 1698 best_so_far = [1.91799849 3.31617052] new_best = 14.77855\n",
"iteration Number = 1700 best_so_far = [1.96076148 3.29950571] new_best = 14.77728\n",
"iteration Number = 1701 best_so_far = [1.97870264 3.26153329] new_best = 14.63947\n",
"iteration Number = 1702 best_so_far = [1.95520457 3.2389569 ] new_best = 14.46817\n",
"iteration Number = 1703 best_so_far = [1.96358797 3.19116244] new_best = 14.25152\n",
"iteration Number = 1711 best_so_far = [1.9674876 3.1362751] new_best = 13.90943\n",
"iteration Number = 1719 best_so_far = [1.98015053 3.0758484 ] new_best = 13.47457\n",
"iteration Number = 1721 best_so_far = [1.93032353 3.02670837] new_best = 12.97408\n",
"iteration Number = 1723 best_so_far = [1.83717373 3.00641324] new_best = 12.61418\n",
"iteration Number = 1724 best_so_far = [1.82596895 2.96067386] new_best = 12.32513\n",
"iteration Number = 1725 best_so_far = [1.8127218 2.9661332] new_best = 12.29621\n",
"iteration Number = 1726 best_so_far = [1.78475991 2.87035969] new_best = 11.76191\n",
"iteration Number = 1727 best_so_far = [1.85653863 2.80225474] new_best = 11.67324\n",
"iteration Number = 1728 best_so_far = [1.86951709 2.77907439] new_best = 11.54801\n",
"iteration Number = 1729 best_so_far = [1.87918949 2.76852491] new_best = 11.49514\n",
"iteration Number = 1730 best_so_far = [1.84787845 2.73557524] new_best = 11.16732\n",
"iteration Number = 1735 best_so_far = [1.87323444 2.66338914] new_best = 10.77594\n",
"iteration Number = 1738 best_so_far = [1.86798107 2.65799434] new_best = 10.73513\n",
"iteration Number = 1739 best_so_far = [1.84674064 2.6178518 ] new_best = 10.49999\n",
"iteration Number = 1740 best_so_far = [1.92140046 2.56513102] new_best = 10.49665\n",
"iteration Number = 1742 best_so_far = [1.83706524 2.59343902] new_best = 10.38170\n",
"iteration Number = 1746 best_so_far = [1.88666876 2.53746745] new_best = 10.32810\n",
"iteration Number = 1749 best_so_far = [1.79023803 2.63314479] new_best = 10.32651\n",
"iteration Number = 1752 best_so_far = [1.80883555 2.56145464] new_best = 10.16263\n",
"iteration Number = 1756 best_so_far = [1.7984475 2.55705959] new_best = 10.09970\n",
"iteration Number = 1758 best_so_far = [1.82216561 2.50540839] new_best = 9.99462\n",
"iteration Number = 1759 best_so_far = [1.763376 2.47968861] new_best = 9.57591\n",
"iteration Number = 1760 best_so_far = [1.70168819 2.48296694] new_best = 9.27667\n",
"iteration Number = 1761 best_so_far = [1.67522139 2.41632575] new_best = 8.74550\n",
"iteration Number = 1762 best_so_far = [1.56513315 2.41385605] new_best = 8.50463\n",
"iteration Number = 1769 best_so_far = [1.61299963 2.36606587] new_best = 8.26542\n",
"iteration Number = 1773 best_so_far = [1.60740565 2.29420169] new_best = 7.92944\n",
"iteration Number = 1774 best_so_far = [1.59836121 2.27918215] new_best = 7.86940\n",
"iteration Number = 1776 best_so_far = [1.62818985 2.24348743] new_best = 7.82184\n",
"iteration Number = 1782 best_so_far = [1.61791072 2.21520046] new_best = 7.72525\n",
"iteration Number = 1784 best_so_far = [1.42298177 2.25591357] new_best = 7.31482\n",
"iteration Number = 1785 best_so_far = [1.42816309 2.21936522] new_best = 7.24135\n",
"iteration Number = 1788 best_so_far = [1.37762523 2.20421676] new_best = 6.96530\n",
"iteration Number = 1794 best_so_far = [1.34646339 2.18209159] new_best = 6.77335\n",
"iteration Number = 1795 best_so_far = [1.27822712 2.1398029 ] new_best = 6.44934\n",
"iteration Number = 1796 best_so_far = [1.29948701 2.09400905] new_best = 6.21313\n",
"iteration Number = 1799 best_so_far = [1.27459665 2.04580423] new_best = 5.90018\n",
"iteration Number = 1800 best_so_far = [1.2716092 1.95484537] new_best = 5.53303\n",
"iteration Number = 1802 best_so_far = [1.29391764 1.9395534 ] new_best = 5.52078\n",
"iteration Number = 1803 best_so_far = [1.31078382 1.87735974] new_best = 5.41914\n",
"iteration Number = 1804 best_so_far = [1.33207544 1.83928701] new_best = 5.35681\n",
"iteration Number = 1805 best_so_far = [1.25341087 1.84630551] new_best = 5.27058\n",
"iteration Number = 1806 best_so_far = [1.2867875 1.79680729] new_best = 5.09763\n",
"iteration Number = 1808 best_so_far = [1.30082798 1.79015097] new_best = 5.08362\n",
"iteration Number = 1810 best_so_far = [1.36081667 1.70491591] new_best = 4.79647\n",
"iteration Number = 1811 best_so_far = [1.31402959 1.71112106] new_best = 4.69421\n",
"iteration Number = 1814 best_so_far = [1.19323437 1.69567013] new_best = 4.50138\n",
"iteration Number = 1815 best_so_far = [1.30158169 1.664457 ] new_best = 4.48205\n",
"iteration Number = 1820 best_so_far = [1.24054288 1.66699072] new_best = 4.43561\n",
"iteration Number = 1823 best_so_far = [1.1301546 1.68116302] new_best = 4.28444\n",
"iteration Number = 1824 best_so_far = [1.1100608 1.69402216] new_best = 4.26312\n",
"iteration Number = 1826 best_so_far = [1.12648233 1.64294552] new_best = 4.15072\n",
"iteration Number = 1827 best_so_far = [1.15148003 1.58527791] new_best = 4.13135\n",
"iteration Number = 1829 best_so_far = [1.12478129 1.56919044] new_best = 4.02429\n",
"iteration Number = 1830 best_so_far = [1.10182842 1.59810034] new_best = 3.97466\n",
"iteration Number = 1832 best_so_far = [1.06692542 1.5779042 ] new_best = 3.80792\n",
"iteration Number = 1834 best_so_far = [0.89779261 1.63240248] new_best = 3.62584\n",
"iteration Number = 1835 best_so_far = [0.89770279 1.62345114] new_best = 3.60795\n",
"iteration Number = 1846 best_so_far = [0.95166664 1.52326477] new_best = 3.45533\n",
"iteration Number = 1848 best_so_far = [0.90049641 1.50457872] new_best = 3.40434\n",
"iteration Number = 1850 best_so_far = [0.90001731 1.42719431] new_best = 3.09747\n",
"iteration Number = 1851 best_so_far = [0.93693175 1.38631241] new_best = 2.90826\n",
"iteration Number = 1852 best_so_far = [0.98402539 1.36884602] new_best = 2.86809\n",
"iteration Number = 1854 best_so_far = [0.99558133 1.34273798] new_best = 2.79603\n",
"iteration Number = 1856 best_so_far = [0.95228138 1.23846872] new_best = 2.60012\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"iteration Number = 1858 best_so_far = [0.89531612 1.19166698] new_best = 2.55000\n",
"iteration Number = 1859 best_so_far = [0.87902332 1.16713802] new_best = 2.50008\n",
"iteration Number = 1867 best_so_far = [0.92594005 1.15761344] new_best = 2.47863\n",
"iteration Number = 1868 best_so_far = [1.00109169 1.13069575] new_best = 2.45852\n",
"iteration Number = 1875 best_so_far = [0.90490603 1.06525794] new_best = 2.14219\n",
"iteration Number = 1877 best_so_far = [0.88357399 1.0333267 ] new_best = 2.02598\n",
"iteration Number = 1879 best_so_far = [0.85381162 1.00174962] new_best = 1.92521\n",
"iteration Number = 1881 best_so_far = [0.83917595 0.94947936] new_best = 1.84719\n",
"iteration Number = 1882 best_so_far = [0.75739943 0.93892653] new_best = 1.62841\n",
"iteration Number = 1883 best_so_far = [0.69488601 0.94818308] new_best = 1.43978\n",
"iteration Number = 1886 best_so_far = [0.65024325 0.92872908] new_best = 1.36763\n",
"iteration Number = 1889 best_so_far = [0.62279431 0.91431026] new_best = 1.36064\n",
"iteration Number = 1894 best_so_far = [0.55219756 0.78142743] new_best = 1.22675\n",
"iteration Number = 1895 best_so_far = [0.54785708 0.71115146] new_best = 1.00102\n",
"iteration Number = 1898 best_so_far = [0.55085898 0.69007697] new_best = 0.94670\n",
"iteration Number = 1899 best_so_far = [0.61845858 0.69714632] new_best = 0.92309\n",
"iteration Number = 1900 best_so_far = [0.6174915 0.69164046] new_best = 0.91052\n",
"iteration Number = 1905 best_so_far = [0.61928556 0.64812372] new_best = 0.84697\n",
"iteration Number = 1914 best_so_far = [0.6325355 0.63276616] new_best = 0.84026\n",
"iteration Number = 1963 best_so_far = [0.63308127 0.63014735] new_best = 0.84007\n",
"iteration Number = 2007 best_so_far = [0.63818636 0.45586215] new_best = 0.79650\n",
"iteration Number = 2009 best_so_far = [0.60892088 0.36885106] new_best = 0.58206\n",
"iteration Number = 2010 best_so_far = [0.57558414 0.35296276] new_best = 0.57723\n",
"iteration Number = 2013 best_so_far = [0.60494014 0.28330658] new_best = 0.54791\n",
"iteration Number = 2017 best_so_far = [0.62036909 0.30530046] new_best = 0.52746\n",
"iteration Number = 2043 best_so_far = [0.63593142 0.31690625] new_best = 0.52594\n",
"iteration Number = 2059 best_so_far = [0.6318714 0.30906148] new_best = 0.52584\n",
"iteration Number = 2100 best_so_far = [0.62716803 0.32034894] new_best = 0.52543\n",
"iteration Number = 2299 best_so_far = [0.63175703 0.31295789] new_best = 0.52525\n",
"iteration Number = 2342 best_so_far = [0.62867683 0.31325009] new_best = 0.52503\n",
"iteration Number = 2545 best_so_far = [0.62760036 0.31500205] new_best = 0.52496\n",
"iteration Number = 2690 best_so_far = [0.43777025 0.24988015] new_best = 0.49304\n",
"iteration Number = 2691 best_so_far = [0.4255732 0.29543291] new_best = 0.40954\n",
"iteration Number = 2701 best_so_far = [0.3800211 0.35831126] new_best = 0.31995\n",
"iteration Number = 2705 best_so_far = [0.38401675 0.29012221] new_best = 0.30528\n",
"iteration Number = 2707 best_so_far = [0.35128187 0.33909068] new_best = 0.24463\n",
"iteration Number = 2716 best_so_far = [0.31098046 0.31921056] new_best = 0.21088\n",
"iteration Number = 2965 best_so_far = [0.3128001 0.31066541] new_best = 0.21076\n",
"iteration Number = 3259 best_so_far = [0.31575891 0.31922291] new_best = 0.21057\n",
"iteration Number = 3336 best_so_far = [0.31412496 0.31357077] new_best = 0.21036\n",
"iteration Number = 3927 best_so_far = [0.31670618 0.31574409] new_best = 0.21033\n",
"iteration Number = 5923 best_so_far = [0.31465741 0.31394472] new_best = 0.21032\n",
"iteration Number = 6846 best_so_far = [0.31662115 0.31558098] new_best = 0.21032\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"from numpy import asarray, exp\n",
"from numpy.random import randn, rand, seed\n",
"from matplotlib import pyplot\n",
"import math\n",
"\n",
"\n",
"# define objective function\n",
"def objective(step):\n",
" x1 = step[0]\n",
" x2 = step[1]\n",
" obj = 0.2 + x1**2 + x2**2 - 0.1*math.cos(6.0*3.1415*x1) - 0.1*math.cos(6.0*3.1415*x2)\n",
" return obj\n",
"\n",
"\n",
"# Define simulated annealing algorithm\n",
"def sa(objective, area, iterations, step_size, temperature):\n",
" # create initial point\n",
" start_point = area[:, 0] + rand( len( area ) ) * ( area[:, 1] - area[:, 0] )\n",
" \n",
" # evaluate initial point\n",
" start_point_eval = objective(start_point)\n",
" \n",
" # Assign previous and new solution to previous and new_point_eval variable \n",
" mia_start_point, mia_start_eval = start_point, start_point_eval\n",
" outputs = []\n",
" \n",
" for i in range(iterations):\n",
" \n",
" # First step by mia\n",
" mia_step = mia_start_point + randn( len( area ) ) * step_size \n",
" mia_step_eval = objective(mia_step)\n",
" \n",
" if mia_step_eval < start_point_eval:\n",
" start_point, start_point_eval = mia_step, mia_step_eval\n",
" outputs.append(start_point_eval) #Append the new values into the output list\n",
" #print('Acceptance Criteria = %.5f' % mac,\" \",'iteration Number = ',i,\" \", 'best_so_far = ',start_point,\" \" ,'new_best = %.5f' % start_point_eval)\n",
" print('iteration Number = ',i,\" \", 'best_so_far = ',start_point,\" \" ,'new_best = %.5f' % start_point_eval)\n",
" \n",
" difference = mia_start_eval - mia_step_eval\n",
" t = temperature / float(i + 1)\n",
" \n",
" # calculate Metropolis Acceptance Criterion / Acceptance Probability\n",
" mac = exp(difference / t)\n",
" \n",
" # check whether the new point is acceptable \n",
" if difference > 0 : #or rand() < mac:\n",
" mia_start_point, mia_start_eval = mia_step, mia_step_eval\n",
" \n",
" return [start_point, start_point_eval, outputs]\n",
"\n",
"seed(666)\n",
"\n",
"# define the area of the search space\n",
"# area = asarray([[-6.0, 6.0]])\n",
"area = asarray([[-50.0, 50.0],[-50.0, 50.0]])\n",
"\n",
"# initial temperature\n",
"temperature = 12\n",
"\n",
"# define the total no. of iterations\n",
"iterations = 12000\n",
"\n",
"# define maximum step_size\n",
"step_size = 0.05\n",
"\n",
"# perform the simulated annealing search\n",
"start_point, output, outputs = sa(objective, area, iterations, step_size, temperature)\n",
"\n",
"#plotting the values\n",
"pyplot.plot(outputs, 'ro-')\n",
"pyplot.xlabel('Improvement Value')\n",
"pyplot.ylabel('Evaluation of Objective Function')\n",
"pyplot.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Ejercicios\n",
"\n",
"1) Crea un código para generar 1200 muestras aleatorias (mismo número de iteraciones que el código anterior) y compara el mejor valor obtenido de forma totalmente aleatoria con el mejor valor obtenido mediante *simulated annealing*\n",
"\n",
"2) Qué ocurriría si la temperatura se mantuviera inalterada durante todas las iteraciones?"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
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