An Adaptive Genetic Algorithm based on Arctangent Function

摘要：

　　To speed up convergence rate and improve local convergence in genetic algorithm,nonlinear adaptive crossover probability and mutation probability function are designed.They are based on the arctangent function with three parameters of maximal fitness,minimal fitness and average fitness.An improved adaptive genetic algorithm is proposed based on the two designed functions.Simulation results prove that the proposed improved adaptive genetic algorithm possesses faster convergence speed than GA and AGA presented by Srinvas,stronger optimization ability and avoid the premature effectively.

关键词： Genetic algorithm Adaptive Crossover probability Mutation probability Function test

作者: Ting YU Jiang-qiang HU Jian-chuan YIN Xing-xing HUO

作者单位: Navigation college,Dalian Maritime University,Dalian 116026,China

会议类型: 国际会议

会议名称: 第26届中国控制与决策会议(2014 CCDC)

会议地点: 长沙

会议语种:英文

页码: 1550-1554

在线出版日期: 2014-05-31（万方平台首次上网日期，不代表论文的发表时间）