Controllability of Fractional-Order Particle Swarm Optimizer and Its Application in the Classification of Heart Disease

This study proposes a method to improve fractional-order particle swarm optimizer to overcome the shortcomings of traditional swarm algorithms, such as low search accuracy in a high-dimensional space, falling into local minimums, and nonrobust results. In natural phenomena, our controllable fraction...

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Bibliografski detalji

Glavni autori:	Fu-I Chou, Tian-Hsiang Huang, Po-Yuan Yang, Chin-Hsuan Lin, Tzu-Chao Lin, Wen-Hsien Ho, Jyh-Horng Chou
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2021-12-01
Serija:	Applied Sciences
Teme:	optimization method fractional derivative fractional-order particle swarm optimizer XGBoost
Online pristup:	https://www.mdpi.com/2076-3417/11/23/11517
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