基于和声搜索的混合人工鱼群算法  

A HYBRID ARTIFICIAL FISH SWARM ALGORITHM BASED ON HARMONY SEARCH

作　　者：张洪青[1] 卜涛[1] 

机构地区：[1]华北电力大学经济与管理学院,北京102206

出　　处：《计算机应用与软件》2014年第3期269-272,285,共5页Computer Applications and Software

摘　　要：通过将和声搜索算法和人工鱼群算法进行融合改进后,提出一种新的混合算法。利用行为交叉、算法结构简化和引进混沌算子,使得新的混合算法相比单一算法寻优精度得以提高、算法复杂度得到降低,全局搜索能力有所增强。数值仿真实验和实例应用结果表明将两个算法混合是有效可行的。In this paper we propose a new hybrid algorithm by integrating and improving harmony search algorithm and artificial fish swarm algorithm. Through making use of behaviour crossing and algorithm structure simplifying as well as introducing the chaos factor, the new hybrid algorithm is able to improve its optimisation precision, reduces its complexity and enhances the capacity of global search compared with the simple algorithm. Numerical simulative experiment and the results of application example show that to mix these two algorithms is feasible.

关 键 词：和声搜索 人工鱼群 混沌 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]