# which setup to use? config=1 if config == 1: # this works pretty well (approximates sum) useRecurrent =True pMut = 0.1 pCross = 0.9; popsize = 3; maxgen = 1; N=2 print N ################# ea = EA(INdim, OUTdim, N, maxgen,popsize,minw,maxw); ea.setProbabilities(pMut,pCross); ea.initPop(); print 'starting build' # evolution insert here ind = ea.getInd(); ind.printMatrix(); net = buildExperiment(ind); print 'build done \n\n'
print 'starting build' # evolution insert here # expNo = round(1000000 * random.random(), 0) # generate some number for text file data print expNo f = open('data/ea_%d.txt' % expNo, 'w') # evolution insert here while ea.wantsEval(): print 'Gen: ' + repr( ea.generation()) + '/' + repr(maxgen) + ' actual ind is ' + repr( ea.actualOne()) + '/' + repr(popsize) + ' best so far: ' + repr( ea.getBestFitness()) ind = ea.getInd() #ind.printMatrix(); error = evalInd(ind) ind.getFitness().setError(error) print 'Ind: ' + repr( ea.actualOne()) + ' Error is: ' + repr(error) + ' fitness is: ' + repr( ind.getFitness().get()) # print ea.getActualWeights(); # evaluated the last individual in the generatio? write stats if (ea.actualOne() == (popsize - 1)): print 'check: ' + repr(ea.generation()) fit = ea.getBestInd().getFitness().get()