popsize = 4;
maxgen = 10;
numRuns=10;
for expNo in range(numRuns):
print '----------------------- experiment number %d'%expNo
# init EA
ea = EA(INdim, OUTdim, N, maxgen,popsize,minw,maxw);
ea.setProbabilities(pMut,pCross);
ea.initPop();
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();
else:
useRecurrent =False
pMut = 0.6;
pCross = 1;
N=5
popsize = 3;
maxgen = 1;
# init EA
ea = EA(INdim, OUTdim, N, maxgen,popsize,minw,maxw);
ea.setProbabilities(pMut,pCross);
ea.initPop();
# evolution insert here
while ea.wantsEval():
print 'gen: '+repr(ea.generation())+' actual ind is ' +repr(ea.actualOne())+ ' best so far: '+repr(ea.getBestFitness());
print ' '
ind = ea.getInd();
ind.printMatrix();
error = evalInd(ind);
#error = 0;
print 'Ind: '+repr(ea.actualOne())+' Error is: '+repr(error) +' fitness is: '+repr(ind.getFitness().get());
# poc++ and check end of ea
ea.nextIndividual();
print ea.getActualWeights();
# load the best one found
ind = ea.getIndNo(ea.getBest());
# init EA
ea = EA(INdim, OUTdim, N, maxgen, popsize, minw, maxw)
ea.setProbabilities(pMut, pCross)
ea.initPop()
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)):
N=5
popsize = 4;
maxgen = 5;
# init EA
ea = EA(INdim, OUTdim, N, maxgen,popsize,minw,maxw);
ea.setProbabilities(pMut,pCross);
ea.initPop();
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();