def resetPopulation(self):
for node in self.__leafNode:
#bestCell = node.getBest()
node.resetAgent()
#node.addToPocket(bestCell)
for node in self.__fatherNode:
#bestCell = node.getBest()
node.resetAgent()
#node.addToPocket(bestCell)
#bestCell = self.__rootNode.getBest()
#self.__rootNode.resetAgent()
#self.__rootNode.addToPocket(bestCell)
if self.__isKB:
#gene = Gene()
#gene.randomCellKB(len(self.__ligand.branchSegment), self.__searchSpace, self.__ligand.anglesArray, self.__kbProb)
#gene = self.calculates(gene)
#self.__rootNode.addToPocket(copy.deepcopy(gene))
for n in range(len(self.__fatherNode)):
gene = Gene()
gene.randomCellKB(len(self.__ligand.branchSegment),
self.__searchSpace,
self.__ligand.anglesArray, self.__kbProb)
gene = self.calculatesInit(gene)
self.__fatherNode[n].addToPocket(gene) #cpyflag
for n in range(len(self.__leafNode)):
gene = Gene()
gene.randomCellKB(len(self.__ligand.branchSegment),
self.__searchSpace,
self.__ligand.anglesArray, self.__kbProb)
gene = self.calculatesInit(gene)
self.__leafNode[n].addToPocket(gene) #cpyflag
else:
#gene = Gene()
#gene.randomCell(len(self.__ligand.branchSegment), self.__searchSpace)
#gene = self.calculates(gene)
#self.__rootNode.addToPocket(copy.deepcopy(gene))
for n in range(len(self.__fatherNode)):
gene = Gene()
gene.randomCell(len(self.__ligand.branchSegment),
self.__searchSpace)
gene = self.calculatesInit(gene)
self.__fatherNode[n].addToPocket(gene) #cpyflag
for n in range(len(self.__leafNode)):
gene = Gene()
gene.randomCell(len(self.__ligand.branchSegment),
self.__searchSpace)
gene = self.calculatesInit(gene)
self.__leafNode[n].addToPocket(gene) #cpyflag
def resetPopulation(self): for node in self.__leafNode: bestCell = node.getBest() node.resetAgent() node.addToPocket(bestCell) for node in self.__fatherNode: bestCell = node.getBest() node.resetAgent() node.addToPocket(bestCell) bestCell = self.__rootNode.getBest() self.__rootNode.resetAgent() self.__rootNode.addToPocket(bestCell) gene = Gene() gene.randomCell(len(self.__ligand.branchSegment), self.__searchSpace) gene = self.calculates(gene) self.__rootNode.addToPocket(copy.deepcopy(gene)) for n in range(len(self.__fatherNode)): gene = Gene() gene.randomCell(len(self.__ligand.branchSegment), self.__searchSpace) gene = self.calculates(gene) self.__fatherNode[n].addToPocket(copy.deepcopy(gene)) for n in range(len(self.__leafNode)): gene = Gene() gene.randomCell(len(self.__ligand.branchSegment), self.__searchSpace) gene = self.calculates(gene) self.__leafNode[n].addToPocket(copy.deepcopy(gene))
def initPopulation(self, first=True):
if self.__isKB:
gene = Gene()
gene.randomCellKB(len(self.__ligand.branchSegment),
self.__searchSpace, self.__ligand.anglesArray,
self.__kbProb)
gene = self.calculatesInit(gene)
self.__rootNode.addToPocket(gene) #flag cpy
for n in range(len(self.__fatherNode)):
gene = Gene()
gene.randomCellKB(len(self.__ligand.branchSegment),
self.__searchSpace,
self.__ligand.anglesArray, self.__kbProb)
gene = self.calculatesInit(gene)
self.__fatherNode[n].addToPocket(gene) #flag cpy
for n in range(len(self.__leafNode)):
gene = Gene()
gene.randomCellKB(len(self.__ligand.branchSegment),
self.__searchSpace,
self.__ligand.anglesArray, self.__kbProb)
gene = self.calculatesInit(gene)
self.__leafNode[n].addToPocket(gene) #flag cpy
if first:
self.initLog()
else:
gene = Gene()
gene.randomCell(len(self.__ligand.branchSegment),
self.__searchSpace)
gene = self.calculatesInit(gene)
self.__rootNode.addToPocket(gene) #flag cpy
for n in range(len(self.__fatherNode)):
gene = Gene()
gene.randomCell(len(self.__ligand.branchSegment),
self.__searchSpace)
gene = self.calculatesInit(gene)
self.__fatherNode[n].addToPocket(gene) #flag cpy
for n in range(len(self.__leafNode)):
gene = Gene()
gene.randomCell(len(self.__ligand.branchSegment),
self.__searchSpace)
gene = self.calculatesInit(gene)
self.__leafNode[n].addToPocket(gene) #flag cpy
if first:
self.initLog()
