# 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 FireflyAlgorithm
from NiaPy.util import StoppingTask, OptimizationType
from NiaPy.benchmarks import Sphere
# we will run Firefly Algorithm for 5 independent runs
for i in range(5):
task = StoppingTask(D=10,
nFES=1000,
optType=OptimizationType.MINIMIZATION,
benchmark=Sphere())
algo = FireflyAlgorithm(NP=20, alpha=0.5, betamin=0.2, gamma=1.0)
best = algo.run(task=task)
print('%s -> %s' % (best[0], best[1]))
sys.path.append('../')
# End of fix
from NiaPy.algorithms.basic import ParticleSwarmAlgorithm
from NiaPy.util import StoppingTask, OptimizationType
from NiaPy.benchmarks import Sphere
from numpy import random as rand, apply_along_axis
def customInit(task, NP, rnd=rand):
pop = task.Lower + rnd.rand(NP, task.D) * 2
fpop = apply_along_axis(task.eval, 1, pop)
return pop, fpop
#we will run Particle Swarm Algorithm with custom Init function for 5 independent runs
for i in range(5):
task = StoppingTask(D=10,
nFES=10000,
optType=OptimizationType.MINIMIZATION,
InitPopFunc=customInit,
benchmark=Sphere())
algo = ParticleSwarmAlgorithm(NP=10,
C1=2.0,
C2=2.0,
w=0.7,
vMin=-4,
vMax=4)
best = algo.run(task=task)
print(best)
# 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 AntColonyOptimization
from NiaPy.util import StoppingTask, OptimizationType
from NiaPy.benchmarks import Sphere
from NiaPy.benchmarks import Ackley
from NiaPy.benchmarks import Griewank
# we will run Ant Colony Optimization for 5 independent runs
for i in range(5):
task = StoppingTask(D=10, nGEN=1000, optType=OptimizationType.MINIMIZATION, benchmark=Griewank())
algo = AntColonyOptimization(NP=40)
best = algo.run(task=task)
print('%s -> %s' % (best[0], best[1]))
# 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
import logging
from NiaPy.util import StoppingTask, OptimizationType
from NiaPy.algorithms.basic import DifferentialEvolution
from NiaPy.benchmarks import Griewank, Sphere
# 1 Number of function evaluations (nFES) as a stopping criteria
for i in range(10):
task = StoppingTask(D=10,
nFES=10000,
optType=OptimizationType.MINIMIZATION,
benchmark=Sphere())
algo = DifferentialEvolution(NP=40, CR=0.9, F=0.5)
best = algo.run(task)
print('%s -> %s' % (best[0].x, best[1]))
print('---------------------------------------')
# 2 Number of generations (iterations) as a stopping criteria
for i in range(10):
task = StoppingTask(D=10,
nGEN=1000,
optType=OptimizationType.MINIMIZATION,
benchmark=Sphere())
algo = DifferentialEvolution(NP=40, CR=0.9, F=0.5)
best = algo.run(task)
def setUp(self): self.D = 20 self.x, self.task = rnd.uniform(-100, 100, self.D), StoppingTask(D=self.D, nFES=230, nGEN=inf, benchmark=MyBenchmark()) self.s1, self.s2, self.s3 = Individual(x=self.x, e=False), Individual(task=self.task, rand=rnd), Individual(task=self.task)
def eval(self, A): r"""Check if is algorithm trying to evaluate solution out of bounds.""" self.assertTrue(self.isFeasible(A), 'Solution %s is not in feasible space!!!' % A) return StoppingTask.eval(self, A)