Abstract Reasonable ways and suitable decision of ships collision avoidance are the guarantee of the safety navigation. Based on analysis of the existing collision avoidance strategy, this paper studies on the effectiveness of chaotic particle swarm optimization (CPSO) algorithm for ships collision avoidance, by introducing the improved Tent mapping to solve the premature convergence problem of PSO. The mathematical model and objective function of collision avoidance are put forward and the simulation is carried out to compare the CPSO with PSO in various encounter situations of ships. The results shows that the CPSO is feasible and practical in conducting an optimal steering collision-avoidance scheme.


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    Title :

    Research on Ships Collision Avoidance Based on Chaotic Particle Swarm Optimization


    Contributors:
    Liu, Lisang (author) / He, Dongwei (author) / Ma, Ying (author) / Li, Tianjian (author) / Li, Jianxing (author)


    Publication date :

    2017-11-03


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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