maxgen = 15; ################# ea = EA(INdim,OUTdim, numIns,numOuts, maxgen,popsize,minw,maxw); ea.setProbabilities(pMut,pCross); ea.initPop(); 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();
ea = EA(INdim, OUTdim, numIns, numOuts, maxgen, popsize, minw, maxw) ea.setProbabilities(pMut, pCross) ea.initPop() print 'starting build' expNooo = expNo * 10000000 + round(1000000 * random.random(), 0) # generate some pseuso-number for text file data print expNo f = open('data/ea_%d.txt' % expNooo, '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())
ea.setProbabilities(pMut, pCross) ea.initPop() 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)):
maxgen = 15; ################# ea = EA(INdim,OUTdim, numIns,numOuts, maxgen,popsize,minw,maxw); ea.setProbabilities(pMut,pCross); ea.initPop(); print 'starting build' # evolution insert here # expNo = 0; 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();