def test_custom_works_fine(self):
ca_custom = DynNpMultiStrategyDifferentialEvolutionMTS(NP=40,
seed=self.seed)
ca_customc = DynNpMultiStrategyDifferentialEvolutionMTS(NP=40,
seed=self.seed)
AlgorithmTestCase.algorithm_run_test(self, ca_custom, ca_customc,
MyBenchmark())
def test_griewank_works_fine(self): ca_griewank = DynNpMultiStrategyDifferentialEvolutionMTS(NP=40, D=self.D, nGEN=self.nGEN, nFES=self.nFES, benchmark=Griewank(), seed=self.seed) ca_griewankc = DynNpMultiStrategyDifferentialEvolutionMTS(NP=40, D=self.D, nGEN=self.nGEN, nFES=self.nFES, benchmark=Griewank(), 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 DynNpMultiStrategyDifferentialEvolutionMTS
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 = DynNpMultiStrategyDifferentialEvolutionMTS(NP=50,
F=0.5,
CR=0.9,
pmax=10)
best = algo.run(task=task)
print('%s -> %s' % (best[0].x, best[1]))
# vim: tabstop=3 noexpandtab shiftwidth=3 softtabstop=3
def test_griewank_works_fine(self):
ca_griewank = DynNpMultiStrategyDifferentialEvolutionMTS(
NP=40, seed=self.seed)
ca_griewankc = DynNpMultiStrategyDifferentialEvolutionMTS(
NP=40, seed=self.seed)
AlgorithmTestCase.algorithm_run_test(self, ca_griewank, ca_griewankc)