def test_custom_works_fine(self):
mke_custom = MonkeyKingEvolutionV2(n=10,
C_a=2,
C_r=0.5,
seed=self.seed)
mke_customc = MonkeyKingEvolutionV2(n=10,
C_a=2,
C_r=0.5,
seed=self.seed)
AlgorithmTestCase.algorithm_run_test(self, mke_custom, mke_customc,
MyBenchmark())
def setUp(self):
self.D = 40
self.mkev2_custom = MonkeyKingEvolutionV2(D=self.D,
nFES=1000,
n=10,
C_a=2,
C_r=0.5,
benchmark=MyBenchmark())
self.mkev2_griewank = MonkeyKingEvolutionV2(D=self.D,
nFES=1000,
n=10,
C_a=5,
C_r=0.5,
benchmark=Griewank())
def test_custom_works_fine(self):
mke_custom = MonkeyKingEvolutionV2(D=self.D,
nFES=self.nFES,
nGEN=self.nGEN,
n=10,
C_a=2,
C_r=0.5,
benchmark=MyBenchmark(),
seed=self.seed)
mke_customc = MonkeyKingEvolutionV2(D=self.D,
nFES=self.nFES,
nGEN=self.nGEN,
n=10,
C_a=2,
C_r=0.5,
benchmark=MyBenchmark(),
seed=self.seed)
AlgorithmTestCase.algorithm_run_test(self, mke_custom, mke_customc)
def logging_example(D=10,
nFES=50000,
nGEN=100000,
seed=None,
optType=OptimizationType.MINIMIZATION,
optFunc=MinMB,
**kn):
task = TaskConvPrint(D=D,
nFES=nFES,
nGEN=nGEN,
optType=optType,
benchmark=optFunc())
algo = MonkeyKingEvolutionV2(NP=25, C=3, F=0.5, FC=0.5, R=0.4, task=task)
best = algo.run()
logger.info('%s %s' % (best[0], best[1]))
def simple_example(runs=10,
D=10,
nFES=50000,
nGEN=100000,
seed=None,
optType=OptimizationType.MINIMIZATION,
optFunc=MinMB,
**kn):
for i in range(10):
Algorithm = MonkeyKingEvolutionV2(D=D,
nFES=nFES,
NP=25,
C=3,
F=0.5,
FC=0.5,
R=0.4,
optType=optType,
benchmark=optFunc())
Best = Algorithm.run()
logger.info('%s %s' % (Best[0], Best[1]))
# 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
import random
from NiaPy.algorithms.basic import MonkeyKingEvolutionV2
from NiaPy.task import StoppingTask
from NiaPy.benchmarks import Sphere
# we will run Nelder Mead algorithm for 5 independent runs
for i in range(5):
task = StoppingTask(D=10, nGEN=50, benchmark=Sphere())
algo = MonkeyKingEvolutionV2()
best = algo.run(task)
print('%s -> %s' % (best[0], best[1]))
# vim: tabstop=3 noexpandtab shiftwidth=3 softtabstop=3