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论文类型：期刊论文

发表时间：2013-04-01

发表刊物：APPLIED SOFT COMPUTING

收录刊物：SCIE、EI

卷号：13

期号：4

页面范围：1781-1791

ISSN号：1568-4946

关键字：Artificial bee colony algorithm; Swarm intelligence; Memetic algorithm; Evolutionary computation; Global optimization

摘要：Artificial bee colony algorithm is one of the most recently proposed swarm intelligence based optimization algorithm. A memetic algorithm which combines Hooke-Jeeves pattern search with artificial bee colony algorithm is proposed for numerical global optimization. There are two alternative phases of the proposed algorithm: the exploration phase realized by artificial bee colony algorithm and the exploitation phase completed by pattern search. The proposed algorithm was tested on a comprehensive set of benchmark functions, encompassing a wide range of dimensionality. Results show that the new algorithm is promising in terms of convergence speed, solution accuracy and success rate. The performance of artificial bee colony algorithm is much improved by introducing a pattern search method, especially in handling functions having narrow curving valley, functions with high eccentric ellipse and some complex multimodal functions. (C) 2013 Elsevier B. V. All rights reserved.