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

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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Bibliographic Details
Main Authors: Fu-I Chou, Tian-Hsiang Huang, Po-Yuan Yang, Chin-Hsuan Lin, Tzu-Chao Lin, Wen-Hsien Ho, Jyh-Horng Chou
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Applied Sciences
Subjects:
optimization method
fractional derivative
fractional-order particle swarm optimizer
XGBoost
Online Access:https://www.mdpi.com/2076-3417/11/23/11517

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