def test_runner_works_fine(self):
runner = NiaPy.Runner(4,
10,
2,
useAlgorithms=self.algorithms,
useBenchmarks=self.benchmarks)
runner.run()
self.assertTrue(runner.results)
self.Upper = 5.12
def function(self):
def evaluate(D, sol):
val = 0.0
for i in range(D):
val = val + sol[i] * sol[i]
return val
return evaluate
algorithms = [
'BatAlgorithm', 'DifferentialEvolution', 'FireflyAlgorithm',
'FlowerPollinationAlgorithm', 'GreyWolfOptimizer',
'ArtificialBeeColonyAlgorithm', 'GeneticAlgorithm',
'ParticleSwarmAlgorithm', 'HybridBatAlgorithm',
'SelfAdaptiveDifferentialEvolution'
]
benchmarks = [
'ackley', 'alpine1', 'alpine2', 'chungReynolds', 'csendes', 'griewank',
'happyCat', 'pinter', 'quing', 'quintic', 'rastrigin', 'ridge',
'rosenbrock', 'salomon', 'schumerSteiglitz', 'schwefel', 'schwefel221',
'schwefel222', 'sphere', 'step', 'step2', 'step3', 'stepint',
'styblinskiTang', 'sumSquares', 'whitley',
MyBenchmark()
]
NiaPy.Runner(10, 40, 1000, 3, algorithms, benchmarks).run(export='json',
verbose=True)
def test_runner_works_fine(self):
self.assertTrue(
NiaPy.Runner(10, 40, 1000, 3, self.algorithms,
self.benchmarks).run())
def test_runner_bad_benchmark_throws_fine(self):
self.assertRaises(
TypeError, lambda: NiaPy.Runner(4, 10, 2, 'EvolutionStrategy1p1',
'TesterMan').run())
def test_runner_bad_algorithm_throws_fine(self):
self.assertRaises(
TypeError, lambda: NiaPy.Runner(4, 10, 2, 'EvolutionStrategy', self
.benchmarks).run())
def test_runner_works_fine(self): self.assertTrue(NiaPy.Runner(4, 500, 10, 2, useAlgorithms=self.algorithms, useBenchmarks=self.benchmarks).run())
def test_runner_bad_export_throws_fine(self):
self.assertRaises(
TypeError, lambda: NiaPy.Runner(4, 10, 3, 'GreyWolfOptimizer', self
.benchmarks).run(export="pandas"))
self.Upper = 5.12
def function(self):
def evaluate(D, sol):
val = 0.0
for i in range(D):
val = val + sol[i] * sol[i]
return val
return evaluate
algorithms = ['BatAlgorithm',
'DifferentialEvolution',
'FireflyAlgorithm',
'FlowerPollinationAlgorithm',
'GreyWolfOptimizer',
'ArtificialBeeColonyAlgorithm',
'GeneticAlgorithm',
'ParticleSwarmAlgorithm',
'HybridBatAlgorithm',
'SelfAdaptiveDifferentialEvolution']
benchmarks = ['ackley', 'alpine1', 'alpine2', 'chungReynolds',
'csendes', 'griewank', 'happyCat', 'pinter',
'qing', 'quintic', 'rastrigin', 'ridge',
'rosenbrock', 'salomon', 'schumerSteiglitz', 'schwefel',
'schwefel221', 'schwefel222', 'sphere', 'step',
'step2', 'step3', 'stepint', 'styblinskiTang',
'sumSquares', 'whitley', MyBenchmark()]
NiaPy.Runner(D=10, nFES=1000, nRuns=3, useAlgorithms=algorithms, useBenchmarks=benchmarks).run(export='json', verbose=True)
