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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Veröffentlicht in:	IEEE transactions on evolutionary computation Jg. 26; H. 5; S. 941 - 960
Hauptverfasser:	Wei, Tingyang, Wang, Shibin, Zhong, Jinghui, Liu, Dong, Zhang, Jun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.10.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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-Zugang:	Volltext
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