# 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 BacterialForagingOptimization
from niapy.task import Task
from niapy.problems import Griewank
# we will run Bacterial Foraging Optimization Algorithm for 5 independent runs
for i in range(5):
task = Task(problem=Griewank(dimension=10, lower=-100.0, upper=100.0),
max_iters=800,
enable_logging=True)
algo = BacterialForagingOptimization()
best = algo.run(task)
print('%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 ParticleSwarmAlgorithm
from niapy.task import Task
from niapy.problems import Griewank
# we will run ParticleSwarmAlgorithm for 5 independent runs
algo = ParticleSwarmAlgorithm(population_size=100,
min_velocity=-4.0,
max_velocity=4.0)
for i in range(5):
task = Task(problem=Griewank(dimension=10, lower=-600, upper=600),
max_evals=10000)
best = algo.run(task=task)
print('%s -> %f' % (best[0], best[1]))
print(algo.get_parameters())
# vim: tabstop=3 noexpandtab shiftwidth=3 softtabstop=3
from niapy.algorithms.basic import (GreyWolfOptimizer, ParticleSwarmAlgorithm)
from niapy.problems import (Problem, Ackley, Griewank, Sphere, HappyCat)
"""Example demonstrating the use of niapy Runner."""
class MyProblem(Problem):
def __init__(self, dimension, lower=-10, upper=10, *args, **kwargs):
super().__init__(dimension, lower, upper, *args, **kwargs)
def _evaluate(self, x):
return np.sum(x**2)
runner = Runner(dimension=40,
max_evals=100,
runs=2,
algorithms=[
GreyWolfOptimizer(), "FlowerPollinationAlgorithm",
ParticleSwarmAlgorithm(), "HybridBatAlgorithm",
"SimulatedAnnealing", "CuckooSearch"
],
problems=[
Ackley(dimension=40),
Griewank(dimension=40),
Sphere(dimension=40),
HappyCat(dimension=40), "rastrigin",
MyProblem(dimension=40)
])
runner.run(export='dataframe', verbose=True)
# 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 BatAlgorithm
from niapy.task import Task
from niapy.problems import Griewank
# we will run Bat Algorithm for 5 independent runs
for i in range(5):
task = Task(problem=Griewank(dimension=10, lower=-600, upper=600), max_iters=10000, enable_logging=True)
algo = BatAlgorithm()
best = algo.run(task)
print('%s -> %s' % (best[0], best[1]))