def loop(self):
self.cntGenes=0
self.menu={}
for s in self.species:
self.cntGenes+=len(s.genes)
self.menu[s.num]=[]
for g in s.genes:
self.menu[s.num].append(g.num)
self.showInfo()
sumfitness=0.0
newspecies=[]
newgenes = []
for s in self.species:
s.breed()
for n in s.newSpecies():
newspecies.append(n)
for n in newspecies:
self.species.append(Specie(members=[n],appearTime=self.generation))
for s in self.species:
for n in s.newGenes():
newgenes.append(n)
while len(newgenes):
n=newgenes[0]
for s in self.species:
for o in s.genes:
if o not in newgenes:
self.adjustFitness(new=n,old=o)
del newgenes[0]
for s in self.species:
s.sort()
s.recountFitness()
sumfitness+=s.fitness
# sumfitness/=len(self.species)
self.resource+=RESOURCE
dieList=[]
i=0
while i <len(self.species):
s=self.species[i]
r=self.resource*(s.fitness)/sumfitness
print '[%d] get resource:%d'%(s.num,r)
for d in s.distribute(resource=r):
dieList.append(d)
if not len(s.genes):
print 'The specie [%d] has died out.'%s.num
del self.species[i]
continue
i+=1
self.resource=0.0
while len(dieList):
# self.resource+=self.happyCorner(unlucky=dieList[0])
self.happyCorner(unlucky=dieList[0])
del dieList[0]
saveCurrent(self.packCurrent())
self.generation+=1
def init():
drop()
print'Initializing...'
str=GeneStructure(gsNew=-1,fromDB=1,num=0)
g=Gene(structure=str,weights=[],thresholds=[],num=0)
for i in range (0,SIZE_SENSOR+SIZE_OUTPUT+1):
str.appendNeuron()
g.thresholds.append(random.uniform(-0.5,0.5))
for i in range(0,SIZE_SENSOR):
str.appendSynapse(origin=i,terminus=SIZE_SENSOR+SIZE_OUTPUT)
g.weights.append(random.uniform(-2,2))
str.appendSynapse(origin=SIZE_SENSOR+SIZE_OUTPUT,terminus=i+SIZE_SENSOR)
g.weights.append(random.uniform(-2,2))
save.saveStruct(str.pack())
g.set()
sp1=Specie(members=[g],appearTime=0)
nature=Nature(species=[sp1],generation=0,restResource=0)
save.saveCurrent(nature.packCurrent())
print'Initializing has been done.'
