Self-Regulated Evolutionary Multitask Optimization

Evolutionary multitask optimization (EMTO) is a newly emerging research area in the field of evolutionary computation. It investigates how to solve multiple optimization problems (tasks) at the same time via evolutionary algorithms (EAs) to improve on the performance of solving each task independent...

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Veröffentlicht in:	IEEE transactions on evolutionary computation Jg. 24; H. 1; S. 16 - 28
Hauptverfasser:	Zheng, Xiaolong, Qin, A. K., Gong, Maoguo, Zhou, Deyun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.02.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Evolutionary algorithm (EA) Evolutionary algorithms Knowledge acquisition Knowledge management Knowledge transfer multitask optimization (MTO) Multitasking Optimization Research and development Sociology Solution space Statistics Task analysis
ISSN:	1089-778X, 1941-0026
Online-Zugang:	Volltext
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