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Authors: Seung-Yeol Hong and Yong-Hyuk Kim

Affiliation: Department of Computer Science, Kwangwoon University, Seoul, Republic of Korea

Keyword(s): Genetic Algorithm, Optimization, Deployment.

Abstract: In this study, our primary focus is on enhancing particle coverage through the effective deployment of rectangles with fixed areas and flexible shapes within a two-dimensional space. These rectangles represent areas optimally managed by various units like CCTV cameras, police personnel, search and rescue units and robots. Particles are objects designated for processing by these units. To realize this objective, we presented an efficient technique for deploying rectangles in a two-dimensional space using a genetic algorithm (GA). The GA searches for the optimal deployment of rectangles that maximizes the sum of the particle densities represented int the heat map. We experimented by applying our problem to maritime search and rescue planning. The main application of our method in maritime search and rescue planning is the deployment of search and rescue units in the ocean. As a result, the GA outperformed the greedy method by up to 14%. The experimental outcomes demonstrate the superio rity of our proposed method compared to existing techniques. Specifically, its effectiveness becomes more pronounced when the total area covered by the placed rectangles is smaller than the entire search area. (More)

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Paper citation in several formats:
Hong, S.-Y. and Kim, Y.-H. (2023). Maximizing Particle Coverage with Fixed-Area Rectangles. In Proceedings of the 15th International Joint Conference on Computational Intelligence - ECTA; ISBN 978-989-758-674-3; ISSN 2184-3236, SciTePress, pages 172-178. DOI: 10.5220/0012162900003595

@conference{ecta23,
author={Seung{-}Yeol Hong and Yong{-}Hyuk Kim},
title={Maximizing Particle Coverage with Fixed-Area Rectangles},
booktitle={Proceedings of the 15th International Joint Conference on Computational Intelligence - ECTA},
year={2023},
pages={172-178},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012162900003595},
isbn={978-989-758-674-3},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computational Intelligence - ECTA
TI - Maximizing Particle Coverage with Fixed-Area Rectangles
SN - 978-989-758-674-3
IS - 2184-3236
AU - Hong, S.
AU - Kim, Y.
PY - 2023
SP - 172
EP - 178
DO - 10.5220/0012162900003595
PB - SciTePress