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test_global_best.py
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/
test_global_best.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Import modules
import pytest
import numpy as np
# Import from pyswarms
from pyswarms.single import GlobalBestPSO
from pyswarms.utils.functions.single_obj import sphere
from .abc_test_optimizer import ABCTestOptimizer
class TestGlobalBestOptimizer(ABCTestOptimizer):
@pytest.fixture
def optimizer(self):
return GlobalBestPSO
@pytest.fixture
def optimizer_history(self, options):
opt = GlobalBestPSO(10, 2, options=options)
opt.optimize(sphere, 1000)
return opt
@pytest.fixture
def optimizer_reset(self, options):
opt = GlobalBestPSO(10, 2, options=options)
opt.optimize(sphere, 10)
opt.reset()
return opt
def test_global_correct_pos(self, options):
""" Test to check global optimiser returns the correct position corresponding to the best cost """
opt = GlobalBestPSO(n_particles=10, dimensions=2, options=options)
cost, pos = opt.optimize(sphere, iters=5)
# find best pos from history
min_cost_idx = np.argmin(opt.cost_history)
min_pos_idx = np.argmin(sphere(opt.pos_history[min_cost_idx]))
assert np.array_equal(opt.pos_history[min_cost_idx][min_pos_idx], pos)