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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Vydané v:	IEEE transactions on evolutionary computation Ročník 26; číslo 5; s. 941 - 960
Hlavní autori:	Wei, Tingyang, Wang, Shibin, Zhong, Jinghui, Liu, Dong, Zhang, Jun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.10.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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