A Review: On using ACO Based Hybrid Algorithms for Path Planning of Multi-Mobile Robotics

Author:

Hamad Ibrahim IsmaelORCID,Hasan Mohammad S.

Abstract

<p class="0abstract"><strong>Abstract-</strong>The path planning for Multi Mobile Robotic (MMR) system is a recent combinatorial optimisation problem. In the last decade, many researches have been published to solve this problem. Most of these researches focused on metaheuristic algorithms. This paper reviews articles on Ant Colony Optimisation (ACO) and its hybrid versions to solve the problem. The original Dorigo’s ACO algorithm uses exploration and exploitation phases to find the shortest route in a combinatorial optimisation problem in general without touching mapping, localisation and perception. Due to the properties of MMR, adaptations have been made to ACO algorithms. In this review paper, a literature survey of the recent studies on upgrading, modifications and applications of the ACO algorithms has been discussed to evaluate the application of the different versions of ACO in the MMR domain. The evaluation considered the quality, speed of convergence, robustness, scalability, flexibility of MMR and obstacle avoidance, static and dynamic environment characteristics of the tasks. <strong></strong></p>

Publisher

International Association of Online Engineering (IAOE)

Subject

Computer Networks and Communications,Computer Science Applications

Cited by 7 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. Exploring the application of ant colony optimization in path planning for Unmanned Surface Vehicles;Ocean Engineering;2024-11

2. Emulation Framework for Haptic Data Transmission Using Real-Time Transport Protocol;International Journal of Online and Biomedical Engineering (iJOE);2023-06-13

3. Development of an modified Ant Colony Optimization algorithm for solving path planning problems of a robot system;2023 10th International Conference on Signal Processing and Integrated Networks (SPIN);2023-03-23

4. Role of ant colony optimization in path planning of the robot: A review;2ND INTERNATIONAL CONFERENCE & EXPOSITION ON MECHANICAL, MATERIAL, AND MANUFACTURING TECHNOLOGY (ICE3MT 2022);2023

5. Application of ACO and Its Variants for Optimized Routing of Mobile Robots;IOT with Smart Systems;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3