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2020-10-02 06:25:42,536 - pyswarms.single.global_best - INFO - Optimize for 5000 iters with {'c1': 0.5, 'c2': 0.3, 'w': 0.9}
2020-10-02 09:14:10,457 - pyswarms.single.global_best - INFO - Optimization finished | best cost: -3197533.0041926573, best pos: [3722.7551 351.10406 3294.0032 2701.238 434.8554 308.057
2040.3154 1120.1361 153.39203 1283.2433 3421.9124 1567.3494
3090.1113 849.64795 1815.2468 1908.7006 1341.6033 2122.2668
2658.6978 625.35016 944.9827 1333.3678 1918.4713 3130.0212
1001.58795 783.8106 461.43604 2212.4658 2864.2302 1491.0845
1973.3116 597.30176 2312.2512 329.01886 281.463 3468.3413
599.54663 2800.9958 3528.3774 938.1308 3949.9746 2397.2966
3944.6687 1373.9756 3022.4626 99.08179 2686.5647 2715.151
3765.9666 2874.7405 2182.145 2271.8564 1048.1311 2502.5664
1199.5015 3396.5876 1390.4529 1234.4089 2218.1204 2803.8364
3732.9238 1986.8693 2892.6445 2299.145 848.6857 2017.4927
2733.3555 3218.7673 2366.6277 1455.0759 1657.923 3603.1978
3147.6584 3669.3765 483.67764 742.0271 2390.1233 3738.537
581.0446 1645.8727 3339.3865 3241.1228 880.2624 301.58713
2554.022 1954.3451 1416.7048 311.8213 1305.0273 1660.3738
1593.0183 796.8309 1073.7361 3829.7478 50.358856 3949.724
2548.7148 1073.6001 1781.2295 2586.7666 ]
2020-10-02 13:02:44,631 - pyswarms.single.global_best - INFO - Optimize for 5000 iters with {'c1': 0.5, 'c2': 0.3, 'w': 0.9}
2020-10-02 16:14:37,171 - pyswarms.single.global_best - INFO - Optimization finished | best cost: -3197553.8071331787, best pos: [3721.1506 350.88364 3293.9426 2701.1262 434.42297 307.7345
2039.7452 1118.968 153.24905 1282.1265 3421.6157 1565.9711
3089.91 849.35364 1813.749 1908.3898 1341.3711 2122.2256
2658.1106 625.00037 944.22003 1333.3613 1918.0813 3129.1428
1001.2944 782.4329 460.98306 2211.997 2863.6838 1490.2467
1972.2543 596.29816 2312.108 328.58218 281.33575 3467.8079
598.6897 2799.973 3527.7097 937.2133 3949.964 2396.5845
3943.8755 1372.2999 3022.0627 98.91456 2685.6755 2714.6824
3765.3203 2874.544 2181.9763 2271.7964 1047.0667 2501.3882
1199.2245 3396.2402 1390.3029 1234.1669 2217.1792 2803.0151
3731.3293 1986.1188 2892.304 2299.068 847.73444 2017.1842
2732.0295 3218.6443 2366.4292 1454.3069 1657.4105 3602.0618
3147.0522 3668.2107 483.16565 741.1541 2389.1572 3738.0151
580.2621 1645.0873 3339.3235 3240.8955 879.3787 300.82755
2553.3418 1954.1461 1416.087 310.99384 1304.2225 1660.1633
1591.8762 795.78235 1073.5525 3829.7214 50.000164 3949.6057
2547.4873 1073.2214 1779.8523 2585.6064 ]