Discrete mission planning algorithm for air-sea integrated search model

Abstract The selection of optimal search effort for air-sea integrated search has become the most concerned issue for maritime search and rescue (MSAR) departments. Helicopters play an important role in maritime search because of their strong maneuverability and hovering ability. In this work, the r...

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Autor principal:	Yixiong Yu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d65e765aeebb4b9ea38c6d26b0b127fa
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spelling	oai:doaj.org-article:d65e765aeebb4b9ea38c6d26b0b127fa2021-12-02T16:45:47ZDiscrete mission planning algorithm for air-sea integrated search model10.1038/s41598-021-95477-72045-2322https://doaj.org/article/d65e765aeebb4b9ea38c6d26b0b127fa2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-95477-7https://doaj.org/toc/2045-2322Abstract The selection of optimal search effort for air-sea integrated search has become the most concerned issue for maritime search and rescue (MSAR) departments. Helicopters play an important role in maritime search because of their strong maneuverability and hovering ability. In this work, the requirements of maritime search were analyzed, from which a global optimization model with quantitative constraints for vessels and aircraft was developed by setting the least search time as single-objective optimization problem; then the improved Dinkelbach algorithm was used to solve the continuous programming problem, and the discrete mission planning algorithm was used to improve the calculation accuracy of search time and area. A case study shows that the errors in calculating search time and area decrease from 12–18 min to 36 s and from 76.5 to 0.45 n mile2, respectively. The results obtained from the discrete mission planning algorithm can provide better guidance for MASR departments in selecting optimal search scheme.Yixiong YuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Yixiong Yu Discrete mission planning algorithm for air-sea integrated search model
description	Abstract The selection of optimal search effort for air-sea integrated search has become the most concerned issue for maritime search and rescue (MSAR) departments. Helicopters play an important role in maritime search because of their strong maneuverability and hovering ability. In this work, the requirements of maritime search were analyzed, from which a global optimization model with quantitative constraints for vessels and aircraft was developed by setting the least search time as single-objective optimization problem; then the improved Dinkelbach algorithm was used to solve the continuous programming problem, and the discrete mission planning algorithm was used to improve the calculation accuracy of search time and area. A case study shows that the errors in calculating search time and area decrease from 12–18 min to 36 s and from 76.5 to 0.45 n mile2, respectively. The results obtained from the discrete mission planning algorithm can provide better guidance for MASR departments in selecting optimal search scheme.
format	article
author	Yixiong Yu
author_facet	Yixiong Yu
author_sort	Yixiong Yu
title	Discrete mission planning algorithm for air-sea integrated search model
title_short	Discrete mission planning algorithm for air-sea integrated search model
title_full	Discrete mission planning algorithm for air-sea integrated search model
title_fullStr	Discrete mission planning algorithm for air-sea integrated search model
title_full_unstemmed	Discrete mission planning algorithm for air-sea integrated search model
title_sort	discrete mission planning algorithm for air-sea integrated search model
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d65e765aeebb4b9ea38c6d26b0b127fa
work_keys_str_mv	AT yixiongyu discretemissionplanningalgorithmforairseaintegratedsearchmodel
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Discrete mission planning algorithm for air-sea integrated search model

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