Opposition-Based Cuckoo Search Algorithm for Optimization Problems

摘要：

In the paper a novel cuckoo search (CS) algorithm based on the idea of opposition (OCS) algorithm is proposed and attempts to increase the exploration efficiency of the solution space in order to solve optimization problems. The modifications focus on the solution construction phase of the CS algorithm, which organically merges the opposition-based learning into CS algorithm and the OCS algorithm fully uses beneficial information of the best solutions. During the course of evolvement, OCS algorithm has more powerful exploitation capabilities. Simulation and comparisons based on four standard benchmark functions demonstrate the effectiveness, efficiency and robustness of the proposed OCS algorithm.

关键词： component cuckoo search Levy flights oppositionbased learning meta-heuristic

作者: Pengjun Zhao Huirong Li

作者单位: Department of Mathematics and Computational Science Shangluo University Shangluo 726000, P.R.China

会议类型: 国际会议

会议名称: 2012 Fifth International Symposium on Computational Intelligence and Design 第五届计算智能与设计国际会议 ISCID 2012

会议地点: 杭州

会议语种:英文

页码: 344-347

在线出版日期: 2012-10-28（万方平台首次上网日期，不代表论文的发表时间）