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# Author: Simon Blanke |
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# Email: [email protected] |
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# License: MIT License |
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import random |
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import numpy as np |
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from ...base_optimizer import BaseOptimizer |
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from ...base_positioner import BasePositioner |
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class ParticleSwarmOptimizer(BaseOptimizer): |
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def __init__(self, _main_args_, _opt_args_): |
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super().__init__(_main_args_, _opt_args_) |
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def _init_particles(self, _cand_): |
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_p_list_ = [Particle() for _ in range(self._opt_args_.n_particles)] |
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for i, _p_ in enumerate(_p_list_): |
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_p_.nr = i |
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_p_.pos_current = _cand_._space_.get_random_pos() |
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_p_.pos_best = _p_.pos_current |
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_p_.velo = np.zeros(len(_cand_._space_.search_space)) |
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return _p_list_ |
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def _move_positioners(self, _cand_, _p_list_): |
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for _p_ in _p_list_: |
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r1, r2 = random.random(), random.random() |
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A = self._opt_args_.inertia * _p_.velo |
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B = ( |
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self._opt_args_.cognitive_weight |
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* r1 |
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* np.subtract(_p_.pos_best, _p_.pos_current) |
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) |
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C = ( |
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self._opt_args_.social_weight |
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* r2 |
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* np.subtract(_cand_.pos_best, _p_.pos_current) |
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) |
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new_velocity = A + B + C |
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_p_.velo = new_velocity |
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_p_.pos_new = _p_.move_part(_cand_, _p_.pos_current) |
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def _eval_particle(self, _cand_, _p_): |
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_p_.score_new = _cand_.eval_pos(_p_.pos_new) |
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if _p_.score_new > _cand_.score_best: |
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_cand_, _p_ = self._update_pos(_cand_, _p_) |
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def _iterate(self, i, _cand_, _p_list_): |
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if i % self._opt_args_.n_particles == 0: |
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self._move_positioners(_cand_, _p_list_) |
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_p_current = _p_list_[i % self._opt_args_.n_particles] |
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self._eval_particle(_cand_, _p_current) |
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return _cand_ |
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def _init_opt_positioner(self, _cand_): |
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_p_list_ = self._init_particles(_cand_) |
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for _p_ in _p_list_: |
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_p_.score_current = _cand_.eval_pos(_p_.pos_current) |
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_p_.score_best = _p_.score_current |
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return _p_list_ |
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class Particle(BasePositioner): |
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def __init__(self): |
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super().__init__(self) |
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self.nr = None |
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self.velo = None |
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def move_part(self, _cand_, pos): |
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pos_new = (pos + self.velo).astype(int) |
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# limit movement |
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n_zeros = [0] * len(_cand_._space_.dim) |
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return np.clip(pos_new, n_zeros, _cand_._space_.dim) |
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SimonBlanke /
Hyperactive
