if config == 1: # this works pretty well (approximates sum)
useRecurrent = True
pMut = 0.1
pCross = 0.9;
popsize = 3;
maxgen = 1;
elif config ==2:
useRecurrent = True
pMut = 0.1
pCross = 0.9;
popsize = 5;
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();
# 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'
if config == 1: # this works pretty well (approximates sum)
useRecurrent = True
pMut = 0.1
pCross = 0.9
popsize = 3
maxgen = 1
elif config == 2:
useRecurrent = True
pMut = 0.1
pCross = 0.9
popsize = 5
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(