Elitist Guided Parameter Adaptive Brain Storm Optimization Algorithm
Zhao, Fuqing; Hu, Xiaotong; Zhao, Jinlong; Liu, Huan
2021
会议名称24th IEEE International Conference on Computer Supported Cooperative Work in Design (IEEE CSCWD)
会议录名称PROCEEDINGS OF THE 2021 IEEE 24TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN (CSCWD)
页码679-683
会议日期MAY 05-07, 2021
会议地点Dalian, PEOPLES R CHINA
出版地NEW YORK
出版者IEEE
摘要With the increasing complexity of continuous optimization problems, the requirement of solving algorithms is higher and higher. To improve the performance of brain storm optimization algorithm, an elitist guided parameter adaptive BSO (EGBSO) is proposed in this paper. The population is sorted in the objective space based on the fitness. The top M individuals are regarded as elitists to guide the ordinary individuals to cluster, which accelerates the convergence speed of the algorithm. The updating mechanism of elite guidance is introduced, which utilizes the cooperation between global optimal individual and elitists to guide the population to a better direction. An adaptive selection parameter is set to make the algorithm more inclined to global search in the early stage and local search in the later stage, balancing the exploration and exploitation capabilities. The proposed EGBSO algorithm and three comparison algorithms are tested on the CEC2017 benchmark test suit, and the experimental results show that the EGBSO has good performance in solving complex optimization problems.
关键词brain storm optimization elitist guidance cooperation parameter adaptive
DOI10.1109/CSCWD49262.2021.9437860
收录类别CPCI-S
语种英语
WOS记录号WOS:000716858200116
引用统计
被引频次[WOS]:0   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符https://ir.lut.edu.cn/handle/2XXMBERH/150135
专题国际合作处(港澳台办)
通讯作者Zhao, Fuqing
作者单位Lanzhou Univ Technol, Sch Comp & Commun Technol, Lanzhou, Peoples R China
第一作者单位兰州理工大学
通讯作者单位兰州理工大学
推荐引用方式
GB/T 7714
Zhao, Fuqing,Hu, Xiaotong,Zhao, Jinlong,et al. Elitist Guided Parameter Adaptive Brain Storm Optimization Algorithm[C]. NEW YORK:IEEE,2021:679-683.
条目包含的文件
条目无相关文件。
个性服务
查看访问统计
谷歌学术
谷歌学术中相似的文章
[Zhao, Fuqing]的文章
[Hu, Xiaotong]的文章
[Zhao, Jinlong]的文章
百度学术
百度学术中相似的文章
[Zhao, Fuqing]的文章
[Hu, Xiaotong]的文章
[Zhao, Jinlong]的文章
必应学术
必应学术中相似的文章
[Zhao, Fuqing]的文章
[Hu, Xiaotong]的文章
[Zhao, Jinlong]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。