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发布时间：2019-03-09

论文类型：期刊论文

发表时间：2011-08-15

发表刊物：INFORMATION SCIENCES

收录刊物：ESI高被引论文、EI、SCIE、Scopus

卷号：181

期号：16

页面范围：3508-3531

ISSN号：0020-0255

关键字：Evolutionary computation; Artificial bee colony algorithm; Rosenbrock method; Unconstrained optimization; Memetic algorithm

摘要：A Rosenbrock artificial bee colony algorithm (RABC) that combines Rosenbrock's rotational direction method with an artificial bee colony algorithm (ABC) is proposed for accurate numerical optimization. There are two alternative phases of RABC: the exploration phase realized by ABC and the exploitation phase completed by the rotational direction method. The proposed algorithm was tested on a comprehensive set of complex benchmark problems, encompassing a wide range of dimensionality, and it was also compared with several algorithms. Numerical results show that the new algorithm is promising in terms of convergence speed, success rate, and accuracy. The proposed RABC is also capable of keeping up with the direction changes in the problems. (C) 2011 Elsevier Inc. All rights reserved.