Multi-objective multi-criteria evolutionary algorithm for multi-objective multi-task optimization

Abstract Evolutionary multi-objective multi-task optimization is an emerging paradigm for solving multi-objective multi-task optimization problem (MO-MTOP) using evolutionary computation. However, most existing methods tend to directly treat the multiple multi-objective tasks as different problems a...

詳細記述

書誌詳細
出版年:Complex & Intelligent Systems
主要な著者: Ke-Jing Du, Jian-Yu Li, Hua Wang, Jun Zhang
フォーマット: 論文
言語:英語
出版事項: Springer 2022-02-01
主題:
オンライン・アクセス:https://doi.org/10.1007/s40747-022-00650-8