Application of an improved ant colony algorithm based on unevenly distributed pheromone and multi-objective optimization in path planning for unmanned surface vehicles

Application of an improved ant colony algorithm based on unevenly distributed pheromone and multi-objective optimization in path planning for unmanned surface vehicles

ObjectiveTo address the challenges of path planning for unmanned surface vehicles in complex waters, this paper proposes an improved ant colony optimization（ACO）algorithm based on uneven distributed pheromone and multi-objective optimization.MethodsFirst, a probabilistic roadmap method (PRM) is used...

Full description

Saved in:
Bibliographic Details
Main Authors: Guobing XIE, Wei HE, Wangwen HU, Yixin Su, Binghua SHI
Format: Article
Language:English
Published: Editorial Office of Chinese Journal of Ship Research 2025-02-01
Series:Zhongguo Jianchuan Yanjiu
Subjects:
unmanned vehicles
motion planning
multiobjective optimization
ant colony optimization algorithm
uniformly distributed pheromone
probabilistic roadmap method
Online Access:http://www.ship-research.com/en/article/doi/10.19693/j.issn.1673-3185.04207
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first

Similar Items