中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Novel Hybrid Bat Algorithm with Harmony Search for Global Numerical Optimization

文献类型:期刊论文

作者Wang G. G. ; Guo L. H.
刊名Journal of Applied Mathematics
出版日期2013
卷号21
ISSN号ISBN/1110-757X
英文摘要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
公开日期2014-05-14
源URL[http://ir.ciomp.ac.cn/handle/181722/40782]  
专题长春光学精密机械与物理研究所_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).

入库方式: OAI收割

来源:长春光学精密机械与物理研究所

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