class BBFWATestCase(TestCase):
def setUp(self):
self.D = 40
self.sca_custom = SineCosineAlgorithm(D=self.D,
nFES=1000,
NP=35,
a=7,
Rmin=0.1,
Rmax=3,
benchmark=MyBenchmark())
self.sca_griewank = SineCosineAlgorithm(D=self.D,
nFES=1000,
NP=10,
a=5,
Rmin=0.01,
Rmax=3,
benchmark=Griewank())
def test_custom_works_fine(self):
fun = MyBenchmark().function()
x = self.sca_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.sca_griewank.run()
self.assertTrue(x)
self.assertAlmostEqual(fun(self.D, x[0]), x[1], delta=1e2)
def simple_example(runs=10):
for i in range(runs):
algo = SineCosineAlgorithm(D=50,
nFES=1000,
NP=50,
a=7,
Rmin=0.1,
Rmax=3,
benchmark=MyBenchmark())
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
import random
from NiaPy.algorithms.basic import SineCosineAlgorithm
from NiaPy.task import StoppingTask
from NiaPy.benchmarks import Sphere
# we will run Sine Cosine Algorithm algorithm for 5 independent runs
for i in range(5):
task = StoppingTask(D=10, nFES=10000, benchmark=Sphere())
algo = SineCosineAlgorithm(NP=30, a=7, Rmin=0.1, Rmax=3)
best = algo.run(task=task)
print(best)
# vim: tabstop=3 noexpandtab shiftwidth=3 softtabstop=3
def plot_example():
task = TaskConvPlot(D=50, nFES=50000, nGEN=10000, benchmark=MyBenchmark())
algo = SineCosineAlgorithm(NP=35, a=7, Rmin=0.1, Rmax=3, task=task)
best = algo.run()
logger.info('%s %s' % (best[0], best[1]))
input('Press [enter] to continue')
def logging_example():
task = TaskConvPrint(D=50, nFES=50000, nGEN=10000, benchmark=MyBenchmark())
algo = SineCosineAlgorithm(NP=35, a=3, Rmin=0.1, Rmax=1.1, task=task)
best = algo.run()
logger.info('%s %s' % (best[0], best[1]))