def setUp(self): self.D = 40 self.kh_custom = KrillHerdV1(D=self.D, nFES=1000, n=10, C_a=2, C_r=0.5, benchmark=MyBenchmark()) self.kh_griewank = KrillHerdV1(D=self.D, nFES=1000, n=10, C_a=5, C_r=0.5, benchmark=Griewank())
def simple_example(runs=10, D=10, nFES=50000): for i in range(runs): algo = KrillHerdV1(D=D, nFES=nFES, n=15, C_a=1, C_r=0.5, benchmark=MyBenchmark()) best = algo.run() logger.info('%s %s' % (best[0], best[1]))
def test_type_parametes(self): d = KrillHerdV1.typeParameters() self.assertIsNotNone(d.get('N_max', None)) self.assertIsNotNone(d.get('V_f', None)) self.assertIsNotNone(d.get('D_max', None)) self.assertIsNotNone(d.get('C_t', None)) self.assertIsNotNone(d.get('W_n', None)) self.assertIsNotNone(d.get('W_f', None)) self.assertIsNotNone(d.get('d_s', None)) self.assertIsNotNone(d.get('nn', None)) self.assertIsNotNone(d.get('Cr', None)) self.assertIsNotNone(d.get('Mu', None)) self.assertIsNotNone(d.get('epsilon', None))
def test_griewank_works_fine(self): kh_griewank = KrillHerdV1(n=10, C_a=5, C_r=0.5, seed=self.seed) kh_griewankc = KrillHerdV1(n=10, C_a=5, C_r=0.5, seed=self.seed) AlgorithmTestCase.algorithm_run_test(self, kh_griewank, kh_griewankc)
def test_custom_works_fine(self): kh_custom = KrillHerdV1(n=10, C_a=2, C_r=0.5, seed=self.seed) kh_customc = KrillHerdV1(n=10, C_a=2, C_r=0.5, seed=self.seed) AlgorithmTestCase.algorithm_run_test(self, kh_custom, kh_customc, MyBenchmark())
def plot_example(D=10, nFES=50000): task = TaskConvPlot(D=D, nFES=nFES, nGEN=10000, benchmark=MyBenchmark()) algo = KrillHerdV1(task=task, n=15, C_a=1, C_r=0.5) best = algo.run() logger.info('%s %s' % (best[0], best[1])) input('Press [enter] to continue')
def logging_example(D=10, nFES=50000): task = TaskConvPrint(D=D, nFES=nFES, nGEN=10000, benchmark=MyBenchmark()) algo = KrillHerdV1(task=task, n=15, C_a=1, C_r=0.5) best = algo.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 from NiaPy.algorithms.basic import KrillHerdV1 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, nGEN=50, optType=OptimizationType.MINIMIZATION, benchmark=Sphere()) algo = KrillHerdV1(NP=70, Ainit=0.1, Afinal=0.9) best = algo.run(task=task) print('%s -> %s' % (best[0], best[1])) # vim: tabstop=3 noexpandtab shiftwidth=3 softtabstop=3