2021
DOI: 10.1109/access.2021.3062844
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Optimal Search Facilities Selection Model for Joint Aeronautical and Maritime Search

Abstract: Joint aeronautical and maritime search and rescue is the most effective way of performing rescues at sea. The value and effectiveness of a search and rescue (SAR) are far greater when using a coordinated air-maritime search than when using only vessels or aircraft. However, the harmonization of aeronautical and maritime SAR is complex and potentially life-threatening. When the location of the target in distress is unknown, the search process must be carried out. As the sole way to locate and rescue survivors, … Show more

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Cited by 4 publications
(7 citation statements)
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“…e hesitation degree is more flexible and practical in dealing with ambiguity and uncertainty, which are more flexible and practical in dealing with ambiguity and uncertainty. e research on IVIFS has been quite mature and has achieved many results [12][13][14][15][16][17].…”
Section: Introductionmentioning
confidence: 99%
“…e hesitation degree is more flexible and practical in dealing with ambiguity and uncertainty, which are more flexible and practical in dealing with ambiguity and uncertainty. e research on IVIFS has been quite mature and has achieved many results [12][13][14][15][16][17].…”
Section: Introductionmentioning
confidence: 99%
“…The stakeholders' attitudes have not changed since 2018. According to [51], the efficiency of interventions and sea safety surveillance is better when there is a combined air-maritime operation than when only vessels or aircraft are used. There is a need for a broader education regarding new technological achievements, especially in the development of drones [52] and vessels, to include a comprehensive spectrum of available equipment used in navigation safety surveillance in research and to face new trends and experiences with traditional attitudes and demands.…”
Section: Discussionmentioning
confidence: 99%
“…The authors of [17] proposed a GIS-based ACO-QAP model to optimize the location of emergency medical services(EMS) stations in rural areas, aiming to improve spatial accessibility and emergency medical availability while minimizing resource usage. In [18,19], the covering problem model was used in an MSAR context. The authors of [18] aimed to minimize time and cost using the Dinkelbach algorithm, while [19] focused solely on minimizing response time using NSGA-II within the MSAR framework.…”
Section: Related Workmentioning
confidence: 99%
“…In [18,19], the covering problem model was used in an MSAR context. The authors of [18] aimed to minimize time and cost using the Dinkelbach algorithm, while [19] focused solely on minimizing response time using NSGA-II within the MSAR framework. In [20], an LBM-like algorithm was introduced to solve facilities placement in complex networks with continuous demand, which is applicable to real-world emergency rescue spot locations on a railway network.…”
Section: Related Workmentioning
confidence: 99%
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