A Novel Komodo Mlipir Algorithm and Its Application in PM2.5 Detection

The paper presents an improved Komodo Mlipir Algorithm (KMA) with variable inertia weight and chaos mapping (VWCKMA). In contrast to the original Komodo Mlipir Algorithm (KMA), the chaotic sequence initialization population generated by Tent mapping and Tent Chaos disturbance used in VWCKMA can effe...

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Bibliographic Details
Main Authors: Linxuan Li, Ming Zhao
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/13/12/2051