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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Vydané v:	Information sciences Ročník 630; s. 463 - 481
Hlavní autori:	Bi, Jing, Wang, Ziqi, Yuan, Haitao, Zhang, Jia, Zhou, MengChu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.06.2023
Predmet:	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
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