def test_griewank_works_fine(self): fwa_griewank = FireworksAlgorithm(n=10, C_a=5, C_r=0.5, seed=self.seed) fwa_griewankc = FireworksAlgorithm(n=10, C_a=5, C_r=0.5, seed=self.seed) AlgorithmTestCase.algorithm_run_test(self, fwa_griewank, fwa_griewankc)
class FWATestCase(TestCase): def setUp(self): self.D = 40 self.fwa_custom = FireworksAlgorithm(D=self.D, nFES=1000, n=10, C_a=2, C_r=0.5, benchmark=MyBenchmark()) self.fwa_griewank = FireworksAlgorithm(D=self.D, nFES=1000, n=10, C_a=5, C_r=0.5, benchmark=Griewank()) def test_custom_works_fine(self): fun = MyBenchmark().function() x = self.fwa_custom.run() self.assertTrue(x) self.assertAlmostEqual(fun(self.D, x[0]), x[1], delta=1e2) def test_griewank_works_fine(self): fun = Griewank().function() x = self.fwa_griewank.run() self.assertTrue(x) self.assertAlmostEqual(fun(self.D, x[0]), x[1], delta=1e2)
def setUp(self): self.D = 40 self.fwa_custom = FireworksAlgorithm(D=self.D, nFES=1000, n=10, C_a=2, C_r=0.5, benchmark=MyBenchmark()) self.fwa_griewank = FireworksAlgorithm(D=self.D, nFES=1000, n=10, C_a=5, C_r=0.5, benchmark=Griewank())
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 = FireworksAlgorithm(seed=seed, task=task) best = algo.run() logger.info('%s %s' % (best[0], best[1]))
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 = FireworksAlgorithm(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): fwa_griewank = FireworksAlgorithm(D=self.D, nFES=self.nFES, nGEN=self.nGEN, n=10, C_a=5, C_r=0.5, benchmark=Griewank(), seed=self.seed) fwa_griewankc = FireworksAlgorithm(D=self.D, nFES=self.nFES, nGEN=self.nGEN, n=10, C_a=5, C_r=0.5, benchmark=Griewank(), seed=self.seed) AlgorithmTestCase.algorithm_run_test(self, fwa_griewank, fwa_griewankc)
def test_custom_works_fine(self): fwa_custom = FireworksAlgorithm(D=self.D, nFES=self.nFES, nGEN=self.nGEN, n=10, C_a=2, C_r=0.5, benchmark=MyBenchmark(), seed=self.seed) fwa_customc = FireworksAlgorithm(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, fwa_custom, fwa_customc)
# 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.basic import FireworksAlgorithm from NiaPy.util import StoppingTask, OptimizationType from NiaPy.benchmarks import Sphere # we will run Fireworks Algorithm for 5 independent runs for i in range(5): task = StoppingTask(D=10, nFES=10000, optType=OptimizationType.MINIMIZATION, benchmark=Sphere()) algo = FireworksAlgorithm(N=40) best = algo.run(task=task) print(best)
def test_custom_works_fine(self): fwa_custom = FireworksAlgorithm(n=10, C_a=2, C_r=0.5, seed=self.seed) fwa_customc = FireworksAlgorithm(n=10, C_a=2, C_r=0.5, seed=self.seed) AlgorithmTestCase.algorithm_run_test(self, fwa_custom, fwa_customc, MyBenchmark())