Improved ant colony algorithm for path planning of fixed wing unmanned aerial vehicle

Aiming at the problems of long search time and local optimal solution of ant colony algorithm (ACA) in the path planning of unmanned aerial vehicle (UAV), an improved ant colony algorithm (IACA) was proposed from the aspects of simplicity and effectiveness. The flight performance constraints of fixe...

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Bibliographic Details
Main Authors: Zhao Hongchao, Zhao Jianzhong
Format: Article
Language:English
Published: EDP Sciences 2022-01-01
Series:MATEC Web of Conferences
Subjects:
Online Access:https://www.matec-conferences.org/articles/matecconf/pdf/2022/02/matecconf_icpcm2022_03002.pdf