A Path Planning Method for AGV Based on Improved PSO-PIO Algorithm

In order to solve the problem of particle swarm optimization algorithm easily falling into local optimum in global path planning, according to the related theories of particle swarm optimization algorithm and pigeon-inspired optimization algorithm, the influencing factors that lead to particle swarm...

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Bibliographic Details
Main Authors: QIN Chang-li, ZHANG Hua-qiang, LIU Lin, CHEN Yu, SU Qing-hua
Format: Article
Language:zho
Published: Harbin University of Science and Technology Publications 2022-06-01
Series:Journal of Harbin University of Science and Technology
Subjects:
Online Access:https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2099
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