ea = RealVectorEA(genomelen, False, maxGens, popSize, minw, maxw)
ea.mutate.setStdev(stDev)
ea.setProbabilities(pMut, pCross)
prevgen = 0
filename = 'prosperities.txt'
# now run the EA, store the course of the prosperity (per time step) only for the first one (best one)
while (ea.wantsEval()):
if (prevgen != ea.generation()):
prevgen = ea.generation()
f = file(filename, 'a+')
f.write('%1.1f %1.6f %s\n' %
((prevgen - 1), ea.getBestInd().getFitness().getValue(),
' '.join(map(str,
ea.getBestInd().getGenome().getVector()))))
f.close()
ind = ea.getCurrentInd()
indNo = ea.currentOne()
val = ind.getGenome().getVector()
name = base + "g" + str(ea.generation()) + "_i" + str(
ea.currentOne()) # set the name (for file storing)
prosp = evalConfiguration(val[0], val[1], val[2], QLambda.DEF_IMPORTANCE,
t, dt, name, indNo) # eval
print '----------------- exp named: ' + name + ' done, the value is ' + str(
prosp[0])
ea = RealVectorEA(genomelen, False, maxGens, popSize, minw, maxw);
ea.mutate.setStdev(stDev);
ea.setProbabilities(pMut, pCross);
prevgen=0
filename = 'prosperities.txt'
# now run the EA, store the course of the prosperity (per time step) only for the first one (best one)
while(ea.wantsEval()):
if(prevgen!=ea.generation()):
prevgen=ea.generation()
f=file(filename,'a+')
f.write('%1.1f %1.6f %s\n'%((prevgen-1),ea.getBestInd().getFitness().getValue(),' '.join(map(str, ea.getBestInd().getGenome().getVector()))))
f.close()
ind = ea.getCurrentInd();
indNo = ea.currentOne();
val = ind.getGenome().getVector();
name = base+"g"+str(ea.generation())+"_i"+str(ea.currentOne()) # set the name (for file storing)
prosp = evalConfiguration(val[0],val[1],val[2],QLambda.DEF_IMPORTANCE,t,dt,name,indNo) # eval
print '----------------- exp named: '+name+' done, the value is '+str(prosp[0])
ind.getFitness().setValue(prosp[0]); # set the fitness
ea.nextIndividual(); # continue
# Should be something about 2-3000
fitness = ea.getBestInd().getFitness().getValue();
# now run the EA (change the models parameters), store the course of the prosperity (per time step) only for the first one (best one)
while(ea.wantsEval()):
alphaIn.setFunctions([ConstantFunction(1,11)])
evaluated = evaluated+1
print "----------------------------------- gen: "+str(ea.generation())+" ind: "+str(ea.currentOne())+ "------------ evaluated "+str(evaluated)
if(ea.currentOne()==2): # TODO delete this
break;
if(prevgen!=ea.generation()):
prevgen=ea.generation()
f=file(filename,'a+')
f.write('%1.1f %1.6f %s\n'%((prevgen-1),ea.getBestInd().getFitness().getValue(),' '.join(map(str, ea.getBestInd().getGenome().getVector()))))
f.close()
ind = ea.getCurrentInd();
indNo = ea.currentOne();
val = ind.getGenome().getVector();
net.reset()
time.sleep(2)
net.run(t,dt)
#name = base+"g"+str(ea.generation())+"_i"+str(ea.currentOne()) # set the name (for file storing)
#prosp = evalConfiguration(val[0],val[1],val[2],QLambda.DEF_IMPORTANCE,t,dt,name,indNo) # evals
prosp = rl.getOrigin(QLambda.topicProsperity).getValues().getValues(); # read the prosperity
print '----------------- exp named: '+name+' done, the value is '+str(prosp[0])
ea = RealVectorEA(genomelen, False, maxGens, popSize, minw, maxw);
ea.mutate.setStdev(stDev);
ea.setProbabilities(pMut, pCross);
prevgen=0
filename = 'prosperities.txt'
# now run the EA, store the course of the prosperity (per time step) only for the first one (best one)
while(ea.wantsEval()):
if(prevgen!=ea.generation()):
prevgen=ea.generation()
f=file(filename,'a+')
f.write('%1.1f %1.6f %s\n'%((prevgen-1),ea.getBestInd().getFitness().getValue(),' '.join(map(str, ea.getBestInd().getGenome().getVector()))))
f.close()
ind = ea.getCurrentInd();
indNo = ea.currentOne();
val = ind.getGenome().getVector();
name = base+"g"+str(ea.generation())+"_i"+str(ea.currentOne()) # set the name (for file storing)
prosp = evalConfiguration(val[0],val[1],val[2],QLambda.DEF_IMPORTANCE,t,dt,name,indNo) # eval
print '----------------- exp named: '+name+' done, the value is '+str(prosp[0])
ind.getFitness().setValue(prosp[0]); # set the fitness
ea.nextIndividual(); # continue
# Should be something about 2-3000
fitness = ea.getBestInd().getFitness().getValue();