An enhanced ant colony optimization algorithm for global path planning of deep-sea mining vehicles-Reference-Cited by-同舟云学术

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An enhanced ant colony optimization algorithm for global path planning of deep-sea mining vehicles

Published:2024-06 Issue: Volume:301 Page:117415
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Liang Weixing,Lou Min^ORCID,Chen Zhangxing,Qin Huiyang,Zhang Chen,Cui Chengwei,Wang Yangyang

Funder

National Natural Science Foundation of China-Shandong Joint Fund for Marine Science Research Centers

Publisher

Elsevier BV

Reference40 articles.

1. Path planning techniques for unmanned aerial vehicles: a review, solutions, and challenges;Aggarwal;Comput. Commun.,2020

2. Mobile robot path planning using an improved ant colony optimization;Akka;Int. J. Adv. Rob. Syst.,2018

3. The global path planning of improved A* algorithm based on dynamic analysis of mining vehicle;Chen;Min. Res. Dev.,2021

4. Ant colony optimization:a new meta-heuristic;Dorigo,1999

5. A study of some properties of Ant-Q;Dorigo,1996

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AI-based dynamic avoidance in deep-sea mining;Ocean Engineering;2024-11

2. Three-Dimensional Obstacle Avoidance Harvesting Path Planning Method for Apple-Harvesting Robot Based on Improved Ant Colony Algorithm;Agriculture;2024-08-10

3. Hydrodynamic Parameter Identification of Deep‐Sea Mining Vehicle during Deployment and Retrieval Using a Nonlinear Filter;Advanced Theory and Simulations;2024-07-18

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