Multiobjective multifactorial optimization in evolutionary multitasking

In recent decades, the field of multiobjective optimization has attracted considerable interest among evolutionary computation researchers. One of the main features that makes evolutionary methods particularly appealing for multiobjective problems is the implicit parallelism offered by a population,...

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Bibliographic Details
Main Authors: Gupta, Abhishek, Ong, Yew-Soon, Feng, Liang, Tan, Kay Chen
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/10356/148172
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Institution: Nanyang Technological University
Language: English