class ASOCrossoverTestCase(TestCase):
def setUp(self):
self.D = 40
self.aso_custom = AnarchicSocietyOptimization(NP=40,
D=self.D,
nGEN=10,
nFES=4000,
Combination=Crossover,
benchmark=MyBenchmark())
self.aso_griewank = AnarchicSocietyOptimization(NP=40,
D=self.D,
nGEN=10,
nFES=4000,
Combination=Crossover,
benchmark=Griewank())
def test_custom_works_fine(self):
fun = MyBenchmark().function()
x = self.aso_custom.run()
self.assertTrue(x)
self.assertAlmostEqual(fun(self.D, asarray(x[0])), x[1], delta=1e3)
def test_griewank_works_fine(self):
fun = Griewank().function()
x = self.aso_griewank.run()
self.assertTrue(x)
self.assertAlmostEqual(fun(self.D, asarray(x[0])), x[1], delta=1e3)
def test_griewank_works_fine(self):
aso_griewank = AnarchicSocietyOptimization(NP=40,
Combination=Crossover,
seed=self.seed)
aso_griewankc = AnarchicSocietyOptimization(NP=40,
Combination=Crossover,
seed=self.seed)
AlgorithmTestCase.algorithm_run_test(self, aso_griewank, aso_griewankc)
def test_custom_works_fine(self):
aso_custom = AnarchicSocietyOptimization(NP=40,
Combination=Crossover,
seed=self.seed)
aso_customc = AnarchicSocietyOptimization(NP=40,
Combination=Crossover,
seed=self.seed)
AlgorithmTestCase.algorithm_run_test(self, aso_custom, aso_customc,
MyBenchmark())
def setUp(self):
self.D = 40
self.aso_custom = AnarchicSocietyOptimization(NP=40,
D=self.D,
nGEN=10,
nFES=4000,
Combination=Crossover,
benchmark=MyBenchmark())
self.aso_griewank = AnarchicSocietyOptimization(NP=40,
D=self.D,
nGEN=10,
nFES=4000,
Combination=Crossover,
benchmark=Griewank())
def test_parameter_types(self): d = AnarchicSocietyOptimization.typeParameters() self.assertTrue(d['NP'](1)) self.assertFalse(d['NP'](0)) self.assertFalse(d['NP'](-1)) self.assertTrue(d['F'](10)) self.assertFalse(d['F'](0)) self.assertFalse(d['F'](-10)) self.assertTrue(d['CR'](0.1)) self.assertFalse(d['CR'](-19)) self.assertFalse(d['CR'](19)) self.assertTrue(d['alpha'](10)) self.assertTrue(d['gamma'](10)) self.assertTrue(d['theta'](10))
# 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.other import AnarchicSocietyOptimization
from NiaPy.algorithms.other.aso import Elitism, Sequential, Crossover
from NiaPy.util import StoppingTask, OptimizationType
from NiaPy.benchmarks import Sphere
# we will run Anarchic Society Optimization for 5 independent runs
for i in range(5):
task = StoppingTask(D=10, nFES=10000, optType=OptimizationType.MINIMIZATION, benchmark=Sphere())
algo = AnarchicSocietyOptimization(NP=40, Combination=Elitism)
best = algo.run(task=task)
print best
def plot_example(D=10, nFES=50000, nGEN=100000, seed=None, optType=OptimizationType.MINIMIZATION, optFunc=MinMB, **kn):
task = TaskConvPlot(D=D, nFES=nFES, nGEN=nGEN, optType=optType, benchmark=optFunc())
algo = AnarchicSocietyOptimization(seed=seed, task=task)
best = algo.run()
logger.info('%s %s' % (best[0], best[1]))
input('Press [enter] to continue')
def simple_example(runs=10, D=10, nFES=50000, nGEN=10000, seed=None, optType=OptimizationType.MINIMIZATION, optFunc=MinMB, **kn):
for i in range(runs):
algo = AnarchicSocietyOptimization(D=D, nFES=nFES, optType=optType, seed=seed, benchmark=optFunc())
best = algo.run()
logger.info('%s %s' % (best[0], best[1]))
def test_griewank_works_fine(self): aso_griewank = AnarchicSocietyOptimization(NP=40, D=self.D, nGEN=self.nGEN, nFES=self.nFES, Combination=Crossover, benchmark=Griewank(), seed=self.seed) aso_griewankc = AnarchicSocietyOptimization(NP=40, D=self.D, nGEN=self.nGEN, nFES=self.nFES, Combination=Crossover, benchmark=Griewank(), seed=self.seed) AlgorithmTestCase.algorithm_run_test(self, aso_griewank, aso_griewankc)
def test_custom_works_fine(self): aso_custom = AnarchicSocietyOptimization(NP=40, D=self.D, nGEN=self.nGEN, nFES=self.nFES, Combination=Crossover, benchmark=MyBenchmark(), seed=self.seed) aso_customc = AnarchicSocietyOptimization(NP=40, D=self.D, nGEN=self.nGEN, nFES=self.nFES, Combination=Crossover, benchmark=MyBenchmark(), seed=self.seed) AlgorithmTestCase.algorithm_run_test(self, aso_custom, aso_customc)