Self-adaptive teaching-learning-based optimizer with improved RBF and sparse autoencoder for high-dimensional problems

Evolutionary algorithms and swarm intelligence ones are commonly used to solve many complex optimization problems in different fields. Yet, some of them have limited performance when dealing with high-dimensional complex problems because they often require enormous computational resources to yield d...

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Veröffentlicht in:	Information sciences Jg. 630; S. 463 - 481
Hauptverfasser:	Bi, Jing, Wang, Ziqi, Yuan, Haitao, Zhang, Jia, Zhou, MengChu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.06.2023
Schlagworte:	Autoencoders Evolutionary algorithms Radial basis function model Swarm intelligence algorithms Teaching-learning-based optimizer Swarm intelligence algorithms Teaching-learning-based optimizer Evolutionary algorithms Radial basis function model Autoencoders
ISSN:	0020-0255, 1872-6291
Online-Zugang:	Volltext
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