Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)

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Research on Static Path Planning for Mobile Robot Based on Improved Ant Colony Algorithm

Authors
Haoyuan Sun1, *, Chengjun Ji2
1Student, Institute of Business Administration, Liaoning Technical University, Huludao, Liaoning, 125100, China
2Professor, Institute of Business Administration, Liaoning Technical University, Huludao, Liaoning, 125100, China
*Corresponding author. Email: 1185860871@qq.com
Corresponding Author
Haoyuan Sun
Available Online 22 November 2024.
DOI
10.2991/978-94-6463-570-6_107How to use a DOI?
Keywords
Mobile Robot; Path Planning; Ant Colony Algorithm; Heuristic Function
Abstract

This paper proposes enhancements to the traditional ant colony optimization (ACO) algorithm for path planning. Firstly, it improves the heuristic function by combining current step size ε and the Euclidean distance of the endpoint μ, strengthening path directionality. Secondly, it updates pheromone volatilization dynamically, enhancing convergence. Compared to the classical ACO, the improved algorithm increases the likelihood of ants choosing optimal paths, avoids local optima, and enhances convergence speed and global search ability.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
22 November 2024
ISBN
978-94-6463-570-6
ISSN
2352-5428
DOI
10.2991/978-94-6463-570-6_107How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Haoyuan Sun
AU  - Chengjun Ji
PY  - 2024
DA  - 2024/11/22
TI  - Research on Static Path Planning for Mobile Robot Based on Improved Ant Colony Algorithm
BT  - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
PB  - Atlantis Press
SP  - 1071
EP  - 1077
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-570-6_107
DO  - 10.2991/978-94-6463-570-6_107
ID  - Sun2024
ER  -