Pyevolve Graph
Peter Greaves
I'd like to check the performance of my GA using the plotting function available in pyevolve. I've set up the database adapter:
sqlite_adapter = DBAdapters.DBSQLite(identify="ex1", resetDB=True,frequency=1, commit_freq=1)
And I get a file in my directory called pyevolve.db when I run my code, but it only plots one generation when I am running it for 20 generations and committing and saving data every generation. Does anyone have any idea why this might be?
Code is below, thanks for any help.
Pete
from pyevolve import G1DList
from pyevolve import Mutators, Initializators
from pyevolve import GSimpleGA, Consts
from pyevolve import DBAdapters
# This is the Sphere Function
def EvalFunc(xlist):
global SectionProps,Sections,SectionToAnalyse,NodesList,ElNormTarget,OptimInput,K,Kl,M,Rlb,Damping,Cdb,TestType,TestStandPitch,BladePitch,gravity
Args=(SectionProps,Sections,SectionToAnalyse,NodesList,ElNormTarget,OptimInput,K,Kl,M,Rlb,Damping,Cdb,TestType,TestStandPitch,BladePitch,gravity,False)
xg=np.array(xlist[:])
Error=OptimFunc(xg,*Args)
return 1.0/Error
sqlite_adapter = DBAdapters.DBSQLite(identify="ex1", resetDB=True,frequency=1, commit_freq=1)
genome = G1DList.G1DList(12)
sqlite_adapter.setStatsGenFreq(1)
genome.setParams(rangemin=0.0, rangemax=1.0)
genome.initializator.set(Initializators.G1DListInitializatorReal)
genome.mutator.set(Mutators.G1DListMutatorRealGaussian)
genome.evaluator.set(EvalFunc)
ga = GSimpleGA.GSimpleGA(genome)
ga.setDBAdapter(sqlite_adapter)
ga.setMinimax(Consts.minimaxType["maximize"])
ga.setGenerations(200)
ga.setMutationRate(0.01)
ga.evolve(freq_stats=1)
sqlite_adapter.open(ga)
sqlite_adapter.insert(ga)
sqlite_adapter.commitAndClose()
best = ga.bestIndividual()
Args=(SectionProps,Sections,SectionToAnalyse,NodesList,ElNormTarget,OptimInput,K,Kl,M,Rlb,Damping,Cdb,TestType,TestStandPitch,BladePitch,gravity,True)
xg=np.array(best[:])
Error,Forces,Mass,ElNorm=OptimFunc(xg,*Args)
#python "C:\Python27\Lib\site-packages\Pyevolve\pyevolve_graph.py" -i ex1 -1