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.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Research on Ships Collision Avoidance Based on Chaotic Particle Swarm Optimization


    Beteiligte:
    Liu, Lisang (Autor:in) / He, Dongwei (Autor:in) / Ma, Ying (Autor:in) / Li, Tianjian (Autor:in) / Li, Jianxing (Autor:in)


    Erscheinungsdatum :

    2017-11-03


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    IoD swarms collision avoidance via improved particle swarm optimization

    Ahmed, Gamil / Sheltami, Tarek / Mahmoud, Ashraf et al. | Elsevier | 2020


    Automatic collision avoidance of ships

    Xue, Y / Lee, B S / Han, D | SAGE Publications | 2009


    Automatic collision avoidance of ships

    Xue, Y. | Online Contents | 2009


    Collision avoidance system for autonomous ships

    Europäisches Patentamt | 2023

    Freier Zugriff

    Collision avoidance system for autonomous ships

    KIM DAE IN | Europäisches Patentamt | 2022

    Freier Zugriff