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report.log
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report.log
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2023-02-07 21:37:42,193 - pyswarms.single.global_best - INFO - Optimize for 1000 iters with {'c1': 0.5, 'c2': 0.3, 'w': 0.9}
2023-02-07 21:38:08,583 - pyswarms.single.global_best - INFO - Optimize for 1000 iters with {'c1': 0.5, 'c2': 0.3, 'w': 0.9}
2023-02-07 21:38:44,484 - pyswarms.single.global_best - INFO - Optimize for 100 iters with {'c1': 0.5, 'c2': 0.3, 'w': 0.9}
2023-02-07 21:39:39,769 - pyswarms.single.global_best - INFO - Optimization finished | best cost: 0.06606732397045179, best pos: [ 0.49413621 0.36080273 -0.27212821 -0.32857248 0.40259708 -0.56251789
-0.41590713 0.39363718 3.55726337 2.58098158 2.57455677 3.69483396
0.01997799]
2023-02-07 21:40:03,712 - pyswarms.single.global_best - INFO - Optimize for 100 iters with {'c1': 0.5, 'c2': 0.3, 'w': 0.9}
2023-02-07 21:42:47,451 - pyswarms.single.global_best - INFO - Optimization finished | best cost: 0.05861704354532035, best pos: [ 0.2998117 0.22803656 -0.35742977 -0.28737842 0.20625231 -0.54239401
-0.39905148 0.18126065 3.50883722 2.46564785 2.58025009 3.69651091
0.02455819]