logo
CanyamAI summaries for academic research
language
MobileMobile
  • Phone FeatureWeChat Mini Program
EnglishEnglish
noticeNotice
BlogBlog
delete
arrow
Return

A reference vector-guided many-objective evolutionary algorithm based on an adaptive adjustment strategy

delete2026-06-04
delete0
PRE
AI
B
Baihao Qiao
R
Rongrong Bai
Z
Ziru Feng
B
Boyang Qu *
Y
Yan Li
H
Hejuan Hu
DOI：10.1016/j.asoc.2026.115645delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
• A new many-objective evolutionary algorithm for decomposing domains is proposed. • A novel evolutionary framework based on reference vector guidance is developed. • The diversity maintenance strategy and convergence promotion strategy are presented. • An adaptive adjustment strategy is proposed to supplement the missing individuals.

Journal

Applied Soft Computing cover
Applied Soft Computing
IF:
6.6
Papers:
1.4W
Citations:
4.8W

Organization

No organization information available