Improved Crayfish Optimization Algorithm for Solving Feature Selection Problem

To improve the optimization effect of the crayfish optimization algorithm. This paper proposes a singer chaotic map and population evolution improved crayfish optimization algorithm (ICOA). ICOA improves the random rate of the initial population by adding a chaotic map strategy, which helps the algo...

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Vydané v:	Chinese Control and Decision Conference s. 3514 - 3519
Hlavní autori:	Rao, Honghua, Jia, Heming, Shi, Xiaoming, You, Fangkai, Xue, Bowen, Du, Yilong
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 16.05.2025
Predmet:	CEC2020 test function Convergence crayfish optimization algorithm Feature extraction feature selection Information exchange Optimization population evolution strategy
ISSN:	1948-9447
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