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...

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Bibliographic Details

Published in:	Complex & Intelligent Systems
Main Authors:	Ke-Jing Du, Jian-Yu Li, Hua Wang, Jun Zhang
Format:	Article
Language:	English
Published:	Springer 2022-02-01
Subjects:	Multi-objective optimization Multi-criteria optimization Multi-task optimization Evolutionary algorithm Evolutionary computation
Online Access:	https://doi.org/10.1007/s40747-022-00650-8