南方科技大学知识苑(SUSTech KC): Solving multimodal optimization problems by a knowledge-driven brain storm optimization algorithm

题名	Solving multimodal optimization problems by a knowledge-driven brain storm optimization algorithm
作者	Cheng，Shi 1; Wang，Xueping 1; Zhang，Mingming 2; Lei，Xiujuan 1; Lu，Hui 3; Shi，Yuhui4
通讯作者	Cheng，Shi
发表日期	2024
DOI	10.1016/j.asoc.2023.111105
发表期刊	Applied Soft Computing 影响因子和分区
ISSN	1568-4946
卷号	150
摘要	Multimodal optimization problem (MMOP) refers to the problem having more than one optima or satisfied solution in the decision space. The accuracy and diversity of solutions should be considered when solving MMOPs. In the brain storm optimization (BSO) algorithm, the information on current solutions is analyzed, but the information on previous solutions needs to be more effectively used to guide the search. A knowledge-driven BSO in objective space (KBSOOS) algorithm is proposed to enhance the search performance and to maintain the diversity of the solutions for solving MMOPs. In addition, a diversity indicator is proposed as a quantitative measurement to measure the performance of various algorithms for solving MMOPs. The 30 nonlinear equation system (NES) problems are modeled as MMOPs and solved by six swarm intelligence algorithms to validate the proposed algorithm's performance. Based on the experimental results, the diversity indicator could give a good indication of the performance of algorithms, and the KBSOOS algorithm could enhance the performance of various BSO algorithms.
关键词	Brain storm optimization Diversity measure Multimodal optimization Nonlinear equation system Swarm intelligence
相关链接	[Scopus记录]
收录类别	SCI ; EI
语种	英语
学校署名	其他
ESI学科分类	COMPUTER SCIENCE
Scopus记录号	2-s2.0-85178377477
来源库	Scopus
引用统计	被引频次[WOS]：5
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/629327
专题	工学院_计算机科学与工程系
作者单位	1.School of Computer Science,Shaanxi Normal University,Xi'an,710119,China 2.Department of Mechanical and Mechatronics Engineering,The university of Auckland,Auckland,1010,New Zealand 3.School of Electronic and Information Engineering,Beihang University,Beijing,100191,China 4.Department of Computer Science and Engineering,Southern University of Science and Technology (SUSTech),Shenzhen,518055,China
推荐引用方式 GB/T 7714	Cheng，Shi,Wang，Xueping,Zhang，Mingming,et al. Solving multimodal optimization problems by a knowledge-driven brain storm optimization algorithm[J]. Applied Soft Computing,2024,150.
APA	Cheng，Shi,Wang，Xueping,Zhang，Mingming,Lei，Xiujuan,Lu，Hui,&Shi，Yuhui.(2024).Solving multimodal optimization problems by a knowledge-driven brain storm optimization algorithm.Applied Soft Computing,150.
MLA	Cheng，Shi,et al."Solving multimodal optimization problems by a knowledge-driven brain storm optimization algorithm".Applied Soft Computing 150(2024).