A Review on Evolutionary Multitask Optimization: Trends and Challenges

Evolutionary algorithms (EAs) possess strong problem-solving abilities and have been applied in a wide range of applications. However, they still suffer from a high computational burden and poor generalization ability. To overcome the limitations, numerous studies consider conducting knowledge extra...

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Bibliographic Details

Published in:	IEEE transactions on evolutionary computation Vol. 26; no. 5; pp. 941 - 960
Main Authors:	Wei, Tingyang, Wang, Shibin, Zhong, Jinghui, Liu, Dong, Zhang, Jun
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.10.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Costs Evolutionary algorithm (EA) Evolutionary algorithms Evolutionary computation evolutionary multitasking Multitasking Optimization Sociology Statistics Task analysis transfer optimization Trends
ISSN:	1089-778X, 1941-0026
Online Access:	Get full text
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