基于交流算子与混沌扰动的布谷鸟优化算法  

Cuckoo Optimal Algorithm Based on Exchange Operator and Chaotic Disturbance

作　　者：屈迟文[1] 傅彦铭[2] 黄小龙[1] 

机构地区：[1]百色学院数学与计算机信息工程系,广西百色533000 [2]广西大学计算机与电子信息学院,南宁530004

出　　处：《小型微型计算机系统》2014年第2期384-387,共4页Journal of Chinese Computer Systems

基　　金：国家自然科学基金项目(61063046/F020805)资助;广西高校科研项目(2013YB247)资助;百色学院一般科技项目(2010KB16)资助

摘　　要：布谷鸟算法是智群寻优搜索领域的一种新型优化算法,基本的布谷鸟算法存在进化后期容易陷入局部最优值、收敛速度慢以及寻优精度低等不足.为提高算法的性能,提出一种基于交流算子和混沌扰动的布谷鸟优化算法.该算法引入微粒群算法的交流算子思想加大收敛速度、在迭代中对鸟巢位置采用混沌扰动以提高搜索精度等方法实现对基本算法的改进.通过5个标准测试函数的验证测试,实验表明改进后的布谷鸟算法在寻优速度和精度方面都优于基本布谷鸟算法,是一种有效的算法.The cuckoo algorithm is a novel optimization algorithm in the field of intelligent swarm optimization search. But in terms of original the cuckoo algorithm, there are many problems such as easy to fall into local optimal value in the later evolution, slow con- vergence speed and optimization of low accuracy. In order to improve the performance of the algorithm, this paper puts an optimal al- gorithm based on exchange operator and cuckoo chaos disturbance. The algorithm brings the exchange operator theory of swarm opti- mization algorithm to accelerate the speed of convergence and introduces the chaotic disturbance to nest location in the iteration to im- prove the basic algorithm. The results from the verification of five standard functions show that the improved cuckoo algorithm is su- perior to the basic cuckoo algorithm in speed and accuracy of optimization, which is an effective algorithm.

关 键 词：布谷鸟算法 交流算子 混沌扰动 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]