A new improved krill herd algorithm for global numerical optimization

	A new improved krill herd algorithm for global numerical optimization
	Guo L. H.; Wang G. G.; Gandomi A. H.; Alavi A. H.; Duan H.
	2014
发表期刊	Neurocomputing
ISSN	ISBN/0925-2312
期号	138 页码:392-402
摘要	This study presents an improved krill herd (IKH) approach to solve global optimization problems. The main improvement pertains to the exchange of information between top krill during motion calculation process to generate better candidate solutions. Furthermore, the proposed IKH method uses a new Levy flight distribution and elitism scheme to update the KH motion calculation. This novel meta-heuristic approach can accelerate the global convergence speed while preserving the robustness of the basic KH algorithm. Besides, the detailed implementation procedure for the IKH method is described. Several standard benchmark functions are used to verify the efficiency of IKH. Based on the results, the performance of IKH is superior to or highly competitive with the standard KH and other robust population-based optimization methods. (C) 2014 Elsevier B.V. All rights reserved.
收录类别	SCI ; EI
语种	英语
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/43682
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Guo L. H.,Wang G. G.,Gandomi A. H.,et al. A new improved krill herd algorithm for global numerical optimization[J]. Neurocomputing,2014(138):392-402.
APA	Guo L. H.,Wang G. G.,Gandomi A. H.,Alavi A. H.,&Duan H..(2014).A new improved krill herd algorithm for global numerical optimization.Neurocomputing(138),392-402.
MLA	Guo L. H.,et al."A new improved krill herd algorithm for global numerical optimization".Neurocomputing .138(2014):392-402.

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