A Study on Performance Comparison of Combination of Genetic Algorithm and Ant Colony Optimization for Multi-robot Coverage Path Planning-Reference-Cited by-同舟云学术

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A Study on Performance Comparison of Combination of Genetic Algorithm and Ant Colony Optimization for Multi-robot Coverage Path Planning

Published:2023-06-30 Issue:6 Volume:21 Page:55-65
ISSN:1598-8619
Container-title:The Journal of Korean Institute of Information Technology
language:en
Short-container-title:jkiit

Author:

Gong Jung-Hwan^ORCID,Lee Seung-Hwan^ORCID

Funder

Kumoh National Institute of Technology

Publisher

Korean Institute of Information Technology

Subject

General Medicine

Reference31 articles.

1. Multi-Robot Coverage and Persistent Monitoring in Sensing-Constrained Environments

2. Multi-Robot Patrolling with Sensing Idleness and Data Delay Objectives

3. MASS: Multi-Agent Scheduling System for Intelligent Surveillance

4. A New Entrapment Based Invader Capture Strategy for Multi-robot Surveillance Systems

5. A Multi-Robot Balanced Coverage Path Planning Strategy for Patrol Missions

Cited by 1 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. A Hierarchical Coverage Path Planning Method for Active SLAM;The Journal of Korean Institute of Information Technology;2024-03-31

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