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2022-10-31 14:39:32,287 - pyswarms.discrete.binary - INFO - Optimize for 2 iters with {'c1': 0.5, 'c2': 0.3, 'w': 0.9, 'k': 5, 'p': 2}
2022-10-31 14:40:15,561 - pyswarms.discrete.binary - INFO - Optimize for 2 iters with {'c1': 0.5, 'c2': 0.3, 'w': 0.9, 'k': 5, 'p': 2}
2022-10-31 14:43:21,313 - pyswarms.discrete.binary - INFO - Optimize for 2 iters with {'c1': 0.5, 'c2': 0.3, 'w': 0.9, 'k': 5, 'p': 2}
2022-10-31 14:43:39,088 - pyswarms.discrete.binary - INFO - Optimization finished | best cost: -1.0, best pos: [1 1 1 1 0 1 0 0 0 0 0 1 0 0 0 0 1 1 0 0 0 1 1 1 1 1 0 1 1 0 0 0 0 1 0 1 0
0 1 0 0 0 0 1 1 0 0 0 1 0 1 0 1 0 0 1 1 1 0 1 1 0 1 1 1 1 0 1 0 0 1 1 1 1
1 1 0 0 0 0 1 1 1 0 0 0 1 0 1 1 1 0 0 0 0 1 0 0 0 1 0 0 1 1 1 0 0 1 1 0 0
1 0 0 0 0 0 0 1 1 0 1 1 1 1 1 1 1 0 1 0 0 1 0 0 1 1 0 0 1 1 1 1 0 0 1 1 0
0 0 1 0 1 1 0 1 0 1 1 0 0 1 1 1 1 0 1 1 0 1 1 0 0 0 0 1 1 0 0 1 1 1 0 1 0
0 0 0 0 0 1 1 0 1 0 1 0 1 1 1 1 0 0 0 1 1 1 0 0 1 1 1 1 0 0 1 0 0 1 0 0 1
0 0 1 0 0 0 0 1 0 1 0 1 1 1 0 0 0 1 1 1 1 1 1 0 0 0 1 1 0 1 1 0 1 1 0 0 0
0 1 0 0 0 1 1 0 1 1 1 1 0 1 0 0 0 0 1 0 1 0 1 0 1 1 1 0 0 1 0 0 0 0 0 0 1
0 1 1 1 0 0 1 1 1 0 1 0 0 0 1 0 0 1 0 1 0 0 1 0 1 0 0 0 0 0 1 1 1 1 1 0 0
0 0 0 1 0 0 1 0 0 1 0 1 1 1 0 0 1 0 1 0 1 1 1 0 1 0 1 0 0 0 0 0 0 0 0 1 1
1 0 1 1 0 0 1 1 1 1 0 1 0 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 1 1 0 1 0 1 0 1 0
1 1 1 0 1 1 1 1 1 1 0 0 0 1 0 0 0 1 1 0 0 1 1 1 1 1 0 1 0 0 1 1 1 0 0 0 1
1 1 0 0 1 0 1 1 1 0 0 0 1 0 1 0 0 1 0 1 0 0 0 1 1 1 1 0 1 0 1 0 1 1 0 0 1
0 1 0 1 0 0 1 1 0 0 1 0 0 1 0 1 0 1 0 1 1 0 1 1 1 0 1 1 1 0 0 0 0 0 1 1 0
1 1 1 1 0 0 1 1 0 0 0 0 1 1 1 1 0 1 0 1 0 0 0 0 0 1 0 0 1 1 1 0 0 0 1 1 1
0 0 1 0 1 0 0 0 0 1 0 1 0 0 1 1 0 0 0 1 1 0 1 0 0 0 0 0 1 1 0 1 1 0 1 0 0
1 0 0 0 0 0 0 1 0 0 1 0 1 0 0 1 0 0 1 1 0 0 1 1 0 1 1 1 0 1 0 1 1 1 0 0 1
0 0 0 0 0 1 0 0 0 1 0 1 0 1 0 0 0 1 1 1 1 0 0 0 1 0 1 0 1 0 0 0 1 1 1 0 0
1 1 0 1 1 0 0 0 1 0 0 0 1 1 0 1 0 0 0 0 0 1 1 1 0 0 1 1 1 0 0 1 1 0 1 1 1
1 0 1]
2022-10-31 14:45:49,510 - pyswarms.discrete.binary - INFO - Optimize for 200 iters with {'c1': 0.5, 'c2': 0.3, 'w': 0.9, 'k': 5, 'p': 2}
2022-10-31 14:45:49,861 - pyswarms.discrete.binary - INFO - Optimization finished | best cost: -300.0, best pos: [1 0 1 1 0 1 1 1 0 0 1 0 0 1 0 0 0 0 0 1 1 0 0 0 1 0 1 0 0 1 1 1 0 0 0 1 0
1 0 1 0 0 0 0 0 0 1 0 0 0 1 1 1 1 0 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 0 0
1 1 1 0 0 0 1 1 1 1 1 0 1 1 0 0 1 1 1 0 1 0 1 0 1 1 0 1 0 1 1 0 0 0 0 0 1
0 1 0 0 0 0 0 1 0 0 1 0 0 0 1 1 0 0 0 1 0 0 1 1 0 0 0 0 0 0 1 0 0 0 0 0 1
0 0 1 0 1 0 1 1 1 1 0 0 0 1 0 0 0 0 1 0 0 1 1 1 1 0 1 0 1 1 1 0 0 1 1 1 0
1 1 0 0 1 0 0 1 1 1 1 1 0 0 1 0 0 0 0 1 0 0 1 0 0 1 0 1 0 0 0 1 1 1 1 1 1
1 1 1 0 0 1 1 0 0 1 0 1 0 1 1 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 1 1 0 1 0 1
1 1 0 1 1 1 1 0 1 1 0 1 1 0 0 0 0 1 1 1 0 1 1 1 0 0 0 1 1 0 1 1 1 0 0 1 1
1 0 1 1 0 1 1 1 1 0 0 1 1 1 0 1 1 0 0 1 0 0 0 1 1 0 1 1 0 0 0 0 1 1 0 0 0
1 1 0 1 0 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 1 1 0 0 1 1 1 1 0 0 0
0 1 0 1 1 1 1 0 1 1 1 0 0 0 1 1 1 1 0 0 1 0 0 0 0 0 1 1 1 1 1 1 0 1 1 1 1
1 0 0 1 0 0 0 1 0 1 0 0 1 1 0 1 1 0 1 0 0 0 1 1 0 0 1 0 0 1 0 1 0 1 0 1 0
0 1 1 1 0 0 1 0 0 1 1 1 1 1 1 0 0 1 0 1 0 1 1 1 1 0 1 0 0 1 0 0 1 1 1 1 0
0 0 1 1 1 0 1 1 1 0 0 1 1 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0
1 1 1 0 1 1 1 0 1 0 0 1 0 0 1 0 0 1 1 0 1 1 1 0 0 0 0 1 1 1 0 1 0 1 0 0 0
0 0 1 0 1 1 1 0 0 1 0 1 0 1 1 1 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 1
0 1 0 0 0 0 1 1 1 0 0 1 1 0 0 1 1 0 0 0 0 1 0 1 1 0 0 1 1 1 1 0 0 0 0 0 0
0 1 0 1 1 1 0 0 1 1 1 1 0 0 0 0 0 1 1 1 1 0 0 0 0 0 1 0 0 1 1 1 1 0 0 0 0
0 0 0 0 1 1 1 0 1 1 1 1 0 0 0 1 1 0 0 1 0 1 1 0 1 1 1 0 1 0 1 1 1 0 0 0 0
1 0 1]
2022-10-31 14:46:23,150 - pyswarms.discrete.binary - INFO - Optimize for 2000 iters with {'c1': 0.5, 'c2': 0.3, 'w': 0.9, 'k': 5, 'p': 2}
2022-10-31 14:46:26,094 - pyswarms.discrete.binary - INFO - Optimization finished | best cost: -300.0, best pos: [0 0 1 1 1 0 0 0 1 1 0 1 1 0 0 1 0 1 0 0 0 0 0 1 1 1 1 0 0 0 1 1 1 0 1 0 0
1 0 0 1 1 0 0 0 0 0 0 1 1 0 1 1 1 0 1 1 0 0 1 1 1 0 0 0 0 0 0 1 0 0 0 1 1
1 1 1 0 0 1 0 1 1 1 1 0 0 0 1 1 0 0 1 0 0 0 0 0 0 0 1 1 1 0 1 1 1 1 1 0 1
0 0 0 1 0 0 1 1 1 0 1 1 1 0 0 1 1 0 0 0 0 0 1 0 1 1 0 1 1 1 1 1 1 0 0 0 0
1 1 1 0 0 1 0 1 0 1 0 1 0 1 0 1 0 0 0 0 0 0 0 1 1 0 0 0 0 1 1 1 1 1 1 1 0
1 0 0 1 1 0 0 1 1 1 0 0 1 1 0 0 1 1 0 0 1 0 1 0 1 0 1 0 1 1 0 0 0 0 1 1 1
0 1 1 1 0 0 1 0 0 1 1 0 1 0 0 1 0 0 0 0 0 1 0 1 0 1 0 1 0 0 1 1 1 1 0 0 1
1 1 0 0 1 0 0 1 1 1 1 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 1 0 1 0 1 1 1 1 0 1 0
0 1 0 0 1 0 1 1 1 1 0 0 0 1 0 1 0 1 0 1 1 0 0 0 0 1 0 1 0 0 1 1 1 1 0 0 0
1 1 1 1 0 1 1 0 0 1 0 0 1 1 1 1 1 1 1 0 0 1 1 0 0 1 0 0 1 0 0 1 1 1 0 1 0
0 0 0 1 0 1 1 1 1 0 1 0 0 0 1 0 0 0 0 1 1 1 0 0 0 0 1 0 0 0 1 1 1 1 0 0 1
1 0 0 0 1 0 0 0 0 0 1 0 1 1 1 0 1 1 1 0 1 0 1 1 0 1 1 1 0 0 0 0 0 1 0 0 0
0 0 1 1 0 0 1 0 1 1 1 1 0 1 1 0 1 1 1 0 1 1 0 0 0 0 1 0 0 0 0 1 1 0 0 0 0
0 1 0 0 0 1 0 1 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 1 1 1 0 0 0 0 1 1 0 1 0
0 1 0 1 0 1 1 0 1 1 0 1 0 1 0 1 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 0
1 1 1 1 1 0 0 1 1 1 0 0 1 1 0 0 1 0 1 0 0 1 0 0 0 0 1 1 1 1 1 0 1 0 0 0 1
0 1 1 0 0 1 1 0 0 1 1 0 1 1 1 0 1 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 1 0 1 0 1
1 1 0 0 0 0 1 0 0 1 1 1 0 1 0 1 1 0 0 0 0 0 1 0 0 0 1 0 1 0 1 1 0 0 1 1 1
0 1 1 0 0 1 1 0 0 1 0 0 1 1 1 0 0 0 0 0 1 0 1 0 1 0 0 1 0 0 1 0 0 1 0 1 0
1 1 0]
2022-10-31 14:48:40,677 - pyswarms.discrete.binary - INFO - Optimize for 2000 iters with {'c1': 0.5, 'c2': 0.3, 'w': 0.9, 'k': 5, 'p': 2}
2022-10-31 14:48:43,497 - pyswarms.discrete.binary - INFO - Optimization finished | best cost: 2857.0, best pos: [0 1 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 0 0 1 1 1 0 0 0 0 1 1 1 0 0 1 1 0 1 1 0
1 0 1 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 1 0 0 1 1 0 1 0 0 0 0 1 1 1 0 0 0 1 0
0 0 0 1 1 0 0 0 0 0 1 0 0 1 0 1 0 0 1 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0
0 0 0 1 0 1 1 0 0 1 0 1 0 1 0 1 0 1 0 0 0 0 0 0 1 0 0 0 0 1 1 1 0 0 0 0 0
0 1 1 0 0 1 0 0 1 1 0 0 0 1 0 0 1 0 0 0 1 0 1 1 0 0 1 0 0 0 1 1 1 0 1 1 1
1 1 0 0 0 0 1 1 0 0 1 1 0 0 1 0 0 0 1 1 1 0 0 1 0 0 0 0 0 0 0 0 1 1 1 0 0
0 1 0 0 1 1 0 0 1 1 0 1 1 0 0 1 0 1 1 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 1 1 1
0 1 1 1 0 1 0 0 0 1 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 1 1 0 1 0 0 1 1 0 0
1 0 0 1 1 0 0 1 0 0 0 0 1 0 0 1 1 0 0 0 1 0 1 0 1 0 0 1 0 1 0 0 1 1 1 1 0
0 0 0 0 0 0 0 1 0 1 1 0 0 1 1 1 1 0 1 1 0 0 0 0 1 0 1 1 0 1 1 1 1 1 0 1 0
0 0 0 1 0 1 1 1 0 0 0 1 0 1 0 0 0 0 1 0 1 0 0 0 0 1 0 0 1 1 1 0 1 0 0 0 0
0 0 1 1 0 1 1 0 1 0 0 0 0 1 1 0 0 0 1 1 1 0 1 1 0 0 1 0 0 0 1 0 0 1 0 1 0
0 1 1 1 1 0 1 0 1 0 1 0 0 0 1 0 0 0 1 1 1 1 0 1 1 0 1 0 1 1 0 0 0 0 0 1 0
0 1 0 1 0 0 0 1 0 1 0 0 0 1 0 1 0 0 1 0 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 0
0 0 1 0 1 0 1 0 0 0 0 0 0 0 1 0 1 0 0 0 0 1 0 1 1 1 0 0 1 1 0 1 0 1 0 0 0
0 0 0 0 0 0 1 0 1 0 1 0 0 1 1 1 1 1 1 1 1 1 0 1 1 0 1 1 1 0 0 0 0 0 0 1 1
1 1 1 0 0 1 0 1 0 0 1 1 1 0 0 0 0 0 1 1 0 1 0 0 0 0 1 1 1 0 1 1 1 1 0 1 0
1 1 0 0 0 0 1 0 1 0 0 1 1 1 0 0 1 1 0 0 1 0 1 1 0 0 0 0 0 0 1 1 1 0 0 1 0
0 1 0 0 0 0 1 1 1 1 0 0 0 1 1 0 1 1 1 0 0 1 1 1 0 1 1 1 1 1 1 1 0 0 0 0 0
0 1 1]
2022-10-31 14:49:11,511 - pyswarms.discrete.binary - INFO - Optimize for 2000 iters with {'c1': 0.5, 'c2': 0.3, 'w': 0.9, 'k': 5, 'p': 2}
2022-10-31 14:49:14,442 - pyswarms.discrete.binary - INFO - Optimization finished | best cost: -4498.0, best pos: [0 0 1 1 1 1 1 0 0 1 0 1 1 1 0 0 1 1 0 1 1 1 1 1 1 0 1 1 1 0 1 0 1 0 1 1 0
1 0 1 0 1 1 1 0 1 1 0 1 1 0 0 1 0 1 0 1 0 1 0 1 1 0 1 0 1 1 0 0 1 1 1 1 1
1 1 0 1 1 1 1 1 0 1 0 0 0 0 1 0 1 1 1 1 0 1 0 1 1 1 1 0 1 1 1 1 1 0 1 1 1
1 1 0 0 1 0 1 1 0 0 1 0 1 0 0 1 1 1 1 0 0 1 0 1 1 1 1 1 1 1 1 1 0 0 0 1 1
1 0 1 1 1 1 0 0 1 0 0 0 1 1 1 0 0 1 1 0 0 0 0 1 0 1 1 0 1 1 0 0 1 1 0 0 1
0 1 1 1 1 1 1 0 1 1 1 1 1 0 1 0 1 1 0 0 1 1 0 0 1 0 0 1 1 1 0 0 0 0 1 1 1
1 1 1 1 0 1 1 1 0 0 0 1 0 0 0 1 0 0 1 1 1 1 0 1 1 0 0 1 0 0 0 0 1 1 0 0 0
0 0 1 0 0 0 1 1 1 0 0 1 1 1 1 1 1 0 1 1 1 0 1 0 0 1 1 0 1 1 1 1 0 1 0 1 1
1 0 1 1 1 0 1 1 0 0 1 1 0 1 1 1 1 0 0 0 0 1 1 1 1 1 1 0 0 1 1 1 1 1 1 0 1
1 1 1 0 1 1 1 1 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 0 1 0 0 0 1 1 1 0 1
1 1 1 0 1 1 0 0 1 0 1 1 0 1 1 1 1 0 0 1 1 0 1 1 0 0 1 1 0 1 1 0 1 0 0 0 0
1 0 1 0 0 0 0 1 1 0 1 1 0 0 1 1 0 1 1 0 1 1 1 1 0 1 1 0 1 1 0 0 1 1 0 0 1
1 1 1 0 0 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 0 0 1 1 0 0 0
1 0 1 1 1 1 0 1 1 0 0 1 1 0 0 1 0 1 1 1 1 1 1 1 1 0 1 1 1 1 0 1 0 1 0 1 0
0 0 1 1 1 1 0 0 1 1 1 1 0 1 0 1 1 0 1 1 1 1 1 0 0 1 1 1 1 0 1 1 1 1 0 0 1
1 1 0 1 1 0 1 0 0 1 1 1 0 1 1 1 1 0 1 1 0 1 1 0 1 1 0 1 1 1 1 0 0 0 0 0 1
0 1 1 1 1 1 0 1 1 1 0 1 1 1 1 0 1 1 0 0 0 0 1 1 1 1 0 1 1 1 1 1 0 0 0 0 1
1 0 0 1 0 0 0 1 1 1 1 0 1 1 1 0 1 0 1 1 1 0 0 1 1 0 1 1 1 1 0 1 1 1 0 0 1
1 1 1 1 1 0 0 1 0 1 1 0 1 0 1 1 0 1 1 1 1 0 1 0 1 1 1 1 1 0 1 1 1 1 1 1 0
0 1 1]