Mobile robot path planning based on an improved ACO algorithm and path optimization-Reference-Cited by-同舟云学术

Mobile robot path planning based on an improved ACO algorithm and path optimization

Published:2024-05-18 Issue: Volume: Page:
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Zhou Tianfeng,Wei Wenhong

Funder

the Key Project of Science and Technology Innovation 2030 supported by the Ministry of Science and Technology of China

the Key Research Platforms and Projects of High School in Guangdong Province

the Distinctive Innovation Projects of High School in Guangdong Province

Dongguan Social Development Science and Technology Project

Dongguan Science and Technology Special Commissioner Project

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11042-024-19370-x.pdf

Reference38 articles.

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5. Shen D, Li X, Zhang G, Hao Z (2023) Automated guided vehicle path planning by dynamically adjusting ant colony algorithm heuristic factor. J Xi’an Polytechnic Univ 37(1):93–102