def __init__(self,num_objectives, mutation_rate=0.1, crossover_rate=1.0,TargetPoint=[]):
NSGA_II.__init__(self,num_objectives,mutation_rate,crossover_rate)
NSGA_II.Is_Dominance_Handle = self.Is_Dominance
NSGA_II.Evolve_A_Generation_Handle = self.Evolve_A_Generation
NSGA_II.crowded_comparison_Handle = self.crowded_comparison
self.TargetPoint = TargetPoint
self.Infeasible_Degree_Threshold = 0.0 #不可行度
def __init__(self,num_objectives, mutation_rate=0.1, crossover_rate=1.0,TargetPoint=[]):
'''
function:初始化
para：1、num_objectives 目标函数个数 2、mutation_rate 变异率 3、crossover_rate 交叉率 4、TargetPoint 目标点
'''
NSGA_II.__init__(self,num_objectives,mutation_rate,crossover_rate)
NSGA_II.Is_Dominance_Handle = self.Is_Dominance
NSGA_II.Evolve_A_Generation_Handle = self.Evolve_A_Generation
NSGA_II.crowded_comparison_Handle = self.crowded_comparison
self.TargetPoint = TargetPoint
self.Num_generations = -1
self.Infeasible_Degree_Threshold = 0.0 #不可行度
self.R_Dominance_Threshol = 0.0 #R支配阈值
self.MaxR_Dist = 0.0
self.MinR_Dist = 0.0
def crowded_comparison(self, s1, s2):
return NSGA_II.crowded_comparison(self, s1, s2)
def Evolve_A_Generation(self, Generation, Population, population_size):
return NSGA_II.Evolve_A_Generation(self, Generation, Population, population_size)
def Is_Dominance(self, Fir_Individual, Sec_Individual):
return NSGA_II.Is_Dominance(self, Fir_Individual, Sec_Individual)
def run(self, Init_Population, population_size, num_generations):
return NSGA_II.run(self, Init_Population, population_size, num_generations)