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()