摘要
在布谷鸟搜索算法的基础上,通过引入协同进化策略,提出了一种协同进化布谷鸟搜索算法,该算法对高维函数优化问题采用分而治之的方式把高维问题分解为若干个低维问题,各低维问题协同进化。改进提升了算法的搜索能力,提高了算法的有效性。
based on cuckoo search algorithm,we propose a collaborative cuckoo search algorithm by introducing the cooperative strategy,the algorithm solves the algorithm of high dimensional optimization problems using the way that the high dimensional problem is decomposed into several low dimensional problems,and the low dimensional problems co evolution. The improved algorithm improves the searching ability of the algorithm and improves the algorithm's effectiveness.
作者
王庆喜
朱丽华
WANG Qing-xi, ZHU Li-hua (School of Computer Science & Information Engineering, Anyang Institute of Technology, Anyang 455000, China)
出处
《电脑知识与技术》
2017年第2期233-234,共2页
Computer Knowledge and Technology
基金
安阳工学院科研基金项目(YJJ2016004)
关键词
布谷鸟搜索算法
协同进化策略
维数灾难
Cuckoo search algorithm
co-evolution strategy
Curse of dimensionality