Ackley,
Griewank,
Sphere,
HappyCat
)
"""Example demonstrating the use of NiaPy Runner."""
runner = Runner(
D=40,
nFES=100,
nRuns=2,
useAlgorithms=[
GreyWolfOptimizer(),
"FlowerPollinationAlgorithm",
ParticleSwarmAlgorithm(),
"HybridBatAlgorithm",
"SimulatedAnnealing",
"CuckooSearch"],
useBenchmarks=[
Ackley(),
Griewank(),
Sphere(),
HappyCat(),
"rastrigin"]
)
print(runner.run(verbose=True))
import sys
sys.path.append('../')
import pandas as pd
import time
import numpy as np
import runner
import Procesing
import Storage
from NiaPy.benchmarks import Ackley, Rastrigin, Rosenbrock, Griewank, Sphere, Whitley, Zakharov, Perm, Powell, Pinter
#input parameters
ArrayOfNP = [10, 20] #,30,50,75,100
ArrayOfBenchmarks = [
Ackley(), Rastrigin()
] #,Rosenbrock(),Griewank(), Sphere(), Whitley(), Zakharov(), Perm(), Powell(), Pinter()
ArrayOfnFES = [10000] #,20000,30000
ArrayOfD = [10] #,20,30
NUM_RUNS = 1
resultFilePath = 'results.xlsx'
Processor = Procesing.Procesing()
Runner = runner.Runner()
Storage = Storage.Storage()
beginningTime = time.time()
with pd.ExcelWriter('results.xlsx') as writer:
for Np in ArrayOfNP:
for nFES in ArrayOfnFES:
for D in ArrayOfD:
print(algo, ': MFO Average of Bests over', epoch, 'run: ', average_mfo)
print(algo, ': ABC Average of Bests over', epoch, 'run: ', average_abc)
print(algo, ': PSO Average of Bests over', epoch, 'run: ', average_pso)
print(algo, ': BA Average of Bests over', epoch, 'run: ', average_ba)
print(algo, ': FA Average of Bests over', epoch, 'run: ', average_fa)
print(algo, ': GA Average of Bests over', epoch, 'run: ', average_ga)
return [
average_de, average_mfo, average_abc, average_pso, average_ba,
average_fa, average_ga
]
results = {}
bench = Ackley(Lower=-5, Upper=5)
# plot(bench, 'ackley.png')
de, mfo, abc, pso, ba, fa, ga = optimize(bench, 'Ackley')
results["ackley"] = {
"de": de,
"mfo": mfo,
"abc": abc,
"pso": pso,
"ba": ba,
"fa": fa,
"ga": ga
}
bench = Alpine1(Lower=-10, Upper=10)
# plot(bench, 'alpine.png')
de, mfo, abc, pso, ba, fa, ga = optimize(bench, 'Alpine')
results["alpine"] = {
# encoding=utf8
# This is temporary fix to import module from parent folder
# It will be removed when package is published on PyPI
from NiaPy import Runner
from NiaPy.algorithms.basic import (GreyWolfOptimizer, ParticleSwarmAlgorithm)
from NiaPy.benchmarks import (Ackley, Griewank, Sphere, HappyCat)
import sys
sys.path.append('../')
# End of fix
"""Example demonstrating the use of NiaPy Runner."""
runner = Runner(
D=40,
nFES=100,
nRuns=1,
useAlgorithms=[
GreyWolfOptimizer(), "FlowerPollinationAlgorithm",
ParticleSwarmAlgorithm(), "HybridBatAlgorithm", "SimulatedAnnealing",
"CuckooSearch"
],
useBenchmarks=[Ackley(),
Griewank(),
Sphere(),
HappyCat(), "rastrigin"])
print(runner.run(verbose=True))