A Novel Hybrid Bat Algorithm with Harmony Search for Global Numerical Optimization

	A Novel Hybrid Bat Algorithm with Harmony Search for Global Numerical Optimization
	Wang G. G.; Guo L. H.
	2013
发表期刊	Journal of Applied Mathematics
ISSN	ISBN/1110-757X
卷号	21
摘要	A novel robust hybrid metaheuristic optimization approach, which can be considered as an improvement of the recently developed bat algorithm, is proposed to solve global numerical optimization problems. The improvement includes the addition of pitch adjustment operation in HS serving as a mutation operator during the process of the bat updating with the aim of speeding up convergence, thus making the approach more feasible for a wider range of real-world applications. The detailed implementation procedure for this improved metaheuristic method is also described. Fourteen standard benchmark functions are applied to verify the effects of these improvements, and it is demonstrated that, in most situations, the performance of this hybrid metaheuristic method (HS/BA) is superior to, or at least highly competitive with, the standard BA and other population-based optimization methods, such as ACO, BA, BBO, DE, ES, GA, HS, PSO, and SGA. The effect of the HS/BA parameters is also analyzed.
收录类别	SCI
语种	英语
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/40782
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Wang G. G.,Guo L. H.. A Novel Hybrid Bat Algorithm with Harmony Search for Global Numerical Optimization[J]. Journal of Applied Mathematics,2013,21.
APA	Wang G. G.,&Guo L. H..(2013).A Novel Hybrid Bat Algorithm with Harmony Search for Global Numerical Optimization.Journal of Applied Mathematics,21.
MLA	Wang G. G.,et al."A Novel Hybrid Bat Algorithm with Harmony Search for Global Numerical Optimization".Journal of Applied Mathematics 21(2013).

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