An improved water wave optimisation algorithm enhanced by CMA-ES and opposition-based learning

doi:10.1080/09540091.2019.1674247

	An improved water wave optimisation algorithm enhanced by CMA-ES and opposition-based learning
	Zhao, Fuqing 2; Zhang, Lixin 2; Zhang, Yi 1; Ma, Weimin 4; Zhang, Chuck 3; Song, Houbin 2
刊名	CONNECTION SCIENCE
	2019-10-10
卷号	32 期号:2 页码:132-161
关键词	Water wave optimisation covariance matrix self-adaptation evolution strategy differential evolution opposition-based learning mechanism enhanced water wave optimisation
ISSN号	0954-0091
DOI	10.1080/09540091.2019.1674247
英文摘要	Water Wave Optimisation algorithm (WWO) is a new swarm-based metaheuristic inspired by shallow wave models for global optimisation. In this paper, an enhanced WWO, which combines with multiple assistant strategies (EWWO), is proposed. First, the random opposition-based learning (ROBL) mechanism is introduced to generate the initial population with high quality. Second, a new modified operation is designed and embedded into propagation operation to balance the global exploration and the local exploitation. Third, the covariance matrix self-adaptation evolution strategy (CMA-ES) is employed by the refraction operation to further strengthen the local exploitation. Furthermore, the diversity of the population is maintained in the evolution process by using a crossover operator. The experiment results based on CEC 2017 benchmarks indicate that the EWWO outperforms the state-of-the-art variant algorithms of the WWO and the standard WWO.
资助项目	Wenzhou Public Welfare Science and Technology project[G20170016]
WOS研究方向	Computer Science
语种	英语
出版者	TAYLOR & FRANCIS LTD
WOS记录号	WOS:000489597000001
状态	已发表
内容类型	期刊论文
源URL	[http://119.78.100.223/handle/2XXMBERH/31510]
专题	国际合作处（港澳台办）研究生院
通讯作者	Zhao, Fuqing
作者单位	1.Xijin Univ, Sch Mech Engn, Xian, Shaanxi, Peoples R China 2.Lanzhou Univ Technol, Sch Comp & Commun Technol, Lanzhou 730050, Gansu, Peoples R China 3.Georgia Inst Technol, H Milton Stewart Sch Ind & Syst Engn, Atlanta, GA 30332 USA 4.Tongji Univ, Sch Econ & Management, Shanghai, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Fuqing,Zhang, Lixin,Zhang, Yi,et al. An improved water wave optimisation algorithm enhanced by CMA-ES and opposition-based learning[J]. CONNECTION SCIENCE,2019,32(2):132-161.
APA	Zhao, Fuqing,Zhang, Lixin,Zhang, Yi,Ma, Weimin,Zhang, Chuck,&Song, Houbin.(2019).An improved water wave optimisation algorithm enhanced by CMA-ES and opposition-based learning.CONNECTION SCIENCE,32(2),132-161.
MLA	Zhao, Fuqing,et al."An improved water wave optimisation algorithm enhanced by CMA-ES and opposition-based learning".CONNECTION SCIENCE 32.2(2019):132-161.