Differential evolution enhanced with multiple dimensional scaling

Minjuan Liu, Wei Huang*

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

Differential evolution algorithm is a well-known intelligent optimization algorithm. In the search process, the algorithm tends to converge prematurely, making the population trapped in local optima. To solve this problem, this paper proposes a new differential evolution algorithm based on multiple dimensional scaling (MDS). We tested the performance of the algorithm on 11 benchmark functions. Experimental results show that the proposed algorithm can achieve higher accuracy when compared with some other evolutionary algorithms reported in the literatures.

源语言英语
主期刊名ICEIEC 2019 - Proceedings of 2019 IEEE 9th International Conference on Electronics Information and Emergency Communication
编辑Wenzheng Li, Guomin Zuo
出版商Institute of Electrical and Electronics Engineers Inc.
461-464
页数4
ISBN(电子版)9781728111896
DOI
出版状态已出版 - 7月 2019
已对外发布
活动9th IEEE International Conference on Electronics Information and Emergency Communication, ICEIEC 2019 - Beijing, 中国
期限: 12 7月 201914 7月 2019

出版系列

姓名ICEIEC 2019 - Proceedings of 2019 IEEE 9th International Conference on Electronics Information and Emergency Communication

会议

会议9th IEEE International Conference on Electronics Information and Emergency Communication, ICEIEC 2019
国家/地区中国
Beijing
时期12/07/1914/07/19

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