Exploring Maritime Search and Rescue Resource Allocation via an Enhanced Particle Swarm Optimization Method

Maritime search and rescue (SAR) plays a very important role in emergency waterway traffic situations, which is supposed to trigger severe personal casualties and property loss in maritime traffic accidents. The study aims to exploit an optimal allocation strategy with limited SAR resources deployed...

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Bibliographic Details
Published in:Journal of marine science and engineering 2022-07, Vol.10 (7), p.906
Main Authors: Sun, Yang, Ling, Jun, Chen, Xinqiang, Kong, Fancun, Hu, Qinyou, Biancardo, Salvatore Antonio
Format: Article
Language:English
Subjects:
Aircraft
Casualties
Coastal zone
Coasts
constrained navigation area
Constraints
enhanced particle swarm model
Evacuations & rescues
Genetic algorithms
Marine accidents
maritime search and rescue
Military deployment
Navigation
Optimization
Optimization models
Particle swarm optimization
Resource allocation
resource allocation strategy
Search and rescue
Ships
Traffic accidents
Traffic accidents & safety
Unmanned aerial vehicles
waterway traffic safety
Waterways
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Summary:Maritime search and rescue (SAR) plays a very important role in emergency waterway traffic situations, which is supposed to trigger severe personal casualties and property loss in maritime traffic accidents. The study aims to exploit an optimal allocation strategy with limited SAR resources deployed at navigation-constrained coastal islands. The study formulates the problem of SAR resource allocation in coastal areas into a non-linear optimization model. We explore the optimal solution for the SAR resource allocation problem under constraints of different ship and aircraft base station settings with the help of an enhanced particle swarm optimization (EPSO) model. Experimental results suggest that the proposed EPSO model can reasonably allocate the maritime rescue resources with a large coverage area and low time cost. The particle swarm optimization and genetic algorithm are further implemented for the purpose of model performance comparison. The research findings can help maritime traffic regulation departments to make more reasonable decisions for establishing SAR base stations.
ISSN:2077-1312
2077-1312
DOI:10.3390/jmse10070906