Optimal search and rescue route design using an improved ant colony optimization | Zendy

Haichuan Zhang | Zendy; Jingwen Sun | Zendy; Baolong Yang | Zendy; Yinghu Shi | Zendy; Zhanying Li | Zendy

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Optimal search and rescue route design using an improved ant colony optimization

Author(s) -

Haichuan Zhang,

Jingwen Sun,

Baolong Yang,

Yinghu Shi,

Zhanying Li

Publication year - 2020

Publication title -

information technology and control

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.286

H-Index - 19

eISSN - 2335-884X

pISSN - 1392-124X

DOI - 10.5755/j01.itc.49.3.25295

Subject(s) - ant colony optimization algorithms , computer science , path (computing) , mathematical optimization , emergency rescue , search and rescue , ant colony , metaheuristic , local search (optimization) , process (computing) , algorithm , artificial intelligence , mathematics , robot , computer network , medicine , medical emergency , operating system

In this paper, an improved ant colony algorithm is proposed for the route design of maritime emergency search and rescue. To solve the problem that the ant colony algorithm is easy to fall into local optimal solutions in the process of searching, the pheromone concentration updating strategy of the original ant colony algorithm is provided. According to the actual situation of maritime search and rescue, the path weight based on the time of falling into the water is introduced into the algorithm to obtain the optimal route. The simulation results show that the improved algorithm can be used for route design, and obtain the optimal route suitable for sea search and rescue.

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