期刊名称：IAENG International Journal of Computer Science
印刷版ISSN：1819-656X
电子版ISSN：1819-9224
出版年度：2019
卷号：46
期号：2
页码：156-162
出版社：IAENG - International Association of Engineers
摘要：Krill herd (KH) algorithm is a new bionicintelligent algorithm which originates from the behavior offoraging krill. In order to enhance the search performance ofKH algorithm, and further improve the convergence speed ofthe algorithm and optimization precision, an improved krillherd optimization algorithm based on the memes groupingstrategy of shuffled frog leaping algorithm was proposed. Thesimulation experiments are carried out by using the six typicaltest functions to discuss the optimization performance. Thesimulation results show that the improved Krill herd algorithmcan effectively increase the algorithm's convergence speed andoptimization precision.
关键词：krill herd algorithm; shuffled frog;leaping algorithm; meme grouping; function optimization
