# Definition of the Reference Model
Individual.setRefModel(RefModel(inputDataFile))
# Error and Post-Processing
Individual.setErrorMethod("mse")
Individual.setPostProcessing("scalling")
outputList = 'tmp-progress end-pareto end-convergence'
for k in range(inputRunNb):
# Set the seed
util.setSeed()
# Result directory definition
resultDir = inputDirName+"_"+'{0:03}'.format(k+1)
os.system("rm -rf "+resultDir+"/*")
MyGenAlgBehavior.setResultDir(resultDir)
# Tmp Dir
tmpDir = '/tmp/tmpSymReg/'+resultDir.split('/')[-1]
os.system("rm -rf "+tmpDir+"/*")
MyGenAlgBehavior.setTmpDir(tmpDir)
# Outputs definition
MyGenAlgBehavior.setOutputList(outputList)
# Copy of the main & seed files in the result directory
os.system("cp seed.txt "+resultDir)
# Create Genetic Algorithm with own individual and behavior
genAlg = PYGA_GenAlg(Individual, MyGenAlgBehavior)
# Definition of the list of enable operators
Individual.opListLoad('../inputs/operatorsList.txt')
# Chargement des paramètres de mutation
Individual.mutationParametersLoad("../inputs/MutationParameters_Choice.txt")
# Definition of the Reference Model
Individual.setRefModel(RefModel("../inputs/Model_Davidson1.txt"))
# Error and Post-Processing
Individual.setErrorMethod("mse")
Individual.setPostProcessing("scalling")
for k in range(10):
# Set the seed
util.setSeed(k)
# Definition of the result Directory
resultDir = "result_" + __file__.replace(".py", "") + "_" + util.getDate()
MyGenAlgBehavior.setResultDir(resultDir)
# Definition du niveau de blabla
MyGenAlgBehavior.setVerboseLevel(3)
# Copy of the main & seed files in the result directory
os.system("cp " + __file__ + " " + resultDir)
os.system("cp seed.txt " + resultDir)
# Create Genetic Algorithm with own individual and behavior
genAlg = PYGA_GenAlg(Individual, MyGenAlgBehavior)
# Set paramaters of the GA
genAlg.setParameters(pop_size=200,
nb_gen=10000,
crossrate=25,
mutaterate=40,
select='best',
import os
import util
# - PYGA imports -
from PYGA_GenAlg import PYGA_GenAlg
# - Local imports -
from RefModel import RefModel
from Individual import Individual
from GenAlgBehavior import MyGenAlgBehavior
# Definition of the list of enable operators
Individual.opListLoad('../inputs/operatorsList.txt')
#Individual.opListLoad('./model_001_0.0225887259063_11.ind')
MyGenAlgBehavior.loadDirectories('.')
# Chargement des paramètres de mutation
Individual.mutationParametersLoad("../inputs/MutationParameters_Full.txt")
# Definition of the Reference Model
Individual.setRefModel(RefModel("Sextic"))
# Error and Post-Processing
Individual.setErrorMethod("mse")
Individual.setPostProcessing("scalling")
outputList = 'info-improvement end-pareto end-convergence'
for k in range(1):
# Set the seed
util.setSeed(k)