def test_custom_works_fine(self):
ca_custom = MultiStrategyDifferentialEvolutionMTS(NP=40,
seed=self.seed)
ca_customc = MultiStrategyDifferentialEvolutionMTS(NP=40,
seed=self.seed)
AlgorithmTestCase.algorithm_run_test(self, ca_custom, ca_customc,
MyBenchmark())
def test_griewank_works_fine(self):
ca_griewank = MultiStrategyDifferentialEvolutionMTS(NP=40,
seed=self.seed)
ca_griewankc = MultiStrategyDifferentialEvolutionMTS(NP=40,
seed=self.seed)
AlgorithmTestCase.algorithm_run_test(self, ca_griewank, ca_griewankc)
# encoding=utf8
# This is temporary fix to import module from parent folder
# It will be removed when package is published on PyPI
import sys
sys.path.append('../')
# End of fix
from NiaPy.algorithms.modified import MultiStrategyDifferentialEvolutionMTS
from NiaPy.algorithms.basic.de import CrossCurr2Best1, CrossBest1
from NiaPy.util import StoppingTask, OptimizationType
from NiaPy.benchmarks import Sphere
# we will run Differential Evolution for 5 independent runs
for i in range(5):
task = StoppingTask(D=10,
nFES=5000,
optType=OptimizationType.MINIMIZATION,
benchmark=Sphere())
algo = MultiStrategyDifferentialEvolutionMTS(NP=50,
F=0.5,
CR=0.4,
strategies=(CrossBest1,
CrossCurr2Best1))
best = algo.run(task=task)
print('%s -> %s' % (best[0].x, best[1]))
# vim: tabstop=3 noexpandtab shiftwidth=3 softtabstop=3