基于混沌遗传算子的人工鱼群算法  

Artificial Fish Swarm Algorithm Based on Chaotic Genetic Operation

作　　者：樊友洪[1] 邓韧[1] 李生林[1] 罗凯文[1] 郭宇栋[1] FAN You-Hong DENG Ren LI Sheng-Lin LUO Kai-Wen GUO Yu-Dong(Logistic Engineering University of PLA, Chongqing 401331, China)

机构地区：[1]中国人民解放军后勤工程学院,重庆401331

出　　处：《计算机系统应用》2017年第3期214-218,共5页Computer Systems & Applications

摘　　要：为提高人工鱼群算法的计算精度和收敛速度,在全局版人工鱼群算法的基础上,利用混沌遗传算子,增加鱼群迭代的混沌扰动以避免局部极值陷阱的同时较大提高了鱼群整体的优化效果和计算精度,加快了算法收敛速度.仿真结果表明,该算法有效可行.A novel algorithm based on chaotic genetic operation is presented in this article to improve computation precision and convergence rate of original artificial fish swarm algorithm. With the chaotic disturbance increasing in fish swarm genetic iteration, the trap of local extremum is avoided, while the optimization effect, computation precision and convergence rate are also improved. Simulation result shows it works well and plays the specialties of genetic algorithm and fish swam algorithm.

关 键 词：人工鱼群 混沌 遗传算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]