OS5-5 Potential of genetic algorithms in multi-UAV coverage problem

Title:	OS5-5 Potential of genetic algorithms in multi-UAV coverage problem
Publication:	ICAROB2024
Volume:	29
Pages:	170-173
ISSN:	2188-7829
DOI:	10.5954/ICAROB.2024.OS5-5
Author(s):	Ramil Faizullin, Tatyana Tsoy, Martínez-García Edgar A., Evgeni Magid
Publication Date:	February 22, 2024
Keywords:	Genetic algorithms, Coverage path, multi-UAV coverage
Abstract:	For a rapid area coverage multiple UAVs are often used simultaneously. However, a path planning for a UAVs group during an area coverage task is computationally challenging. In practice, heuristic algorithms are applied to solve this problem. This paper overviews approaches to an area coverage problem with a group of UAVs using genetic algorithms. The article explores modifications that may be useful for a genetic algorithm for solving the coverage problem as well as representation methods for chromosomes that reflect a path of multi-UAV. Additionally, UAV group collision avoidance strategies during area coverage are considered.
PDF File:	https://alife-robotics.co.jp/members2024/icarob/data/html/data/OS/OS5-5.pdf
Copyright:	© The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/