SimonBlanke /
Gradient-Free-Optimizers
| Total Complexity | 6 |
| Total Lines | 30 |
| Duplicated Lines | 0 % |
| Changes | 0 | ||
| 1 | # Author: Simon Blanke |
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| 2 | # Email: [email protected] |
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| 3 | # License: MIT License |
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| 4 | |||
| 5 | import numpy as np |
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| 6 | |||
| 7 | from gradient_free_optimizers import ParticleSwarmOptimizer |
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| 8 | from ._base_test import _base_test |
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| 9 | |||
| 10 | n_iter = 100 |
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| 11 | opt = ParticleSwarmOptimizer |
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| 12 | |||
| 13 | |||
| 14 | def test_inertia(): |
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| 15 | for inertia in [0.1, 0.9]: |
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| 16 | opt_para = {"inertia": inertia} |
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| 17 | _base_test(opt, n_iter, opt_para=opt_para) |
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| 18 | |||
| 19 | |||
| 20 | def test_cognitive_weight(): |
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| 21 | for cognitive_weight in [0.1, 0.9]: |
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| 22 | opt_para = {"cognitive_weight": cognitive_weight} |
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| 23 | _base_test(opt, n_iter, opt_para=opt_para) |
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| 24 | |||
| 25 | |||
| 26 | def test_social_weight(): |
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| 27 | for social_weight in [0.1, 0.9]: |
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| 28 | opt_para = {"social_weight": social_weight} |
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| 29 | _base_test(opt, n_iter, opt_para=opt_para) |
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| 30 |
