A particle swarm optimization algorithm (PSO) is presented for vehicle path planning in the paper. Particle swarm optimization proposed by Kennedy and Eberhart is derived from the social behavior of the birds foraging. Particle swarm optimization algorithm a kind of swarm-based optimization method.The simulation experiments performed in this study show the better vehicle path planning ability of PSO than that of adaptive genetic algorithm and genetic algorithm. The experimental results show that the vehicle path planning by using PSO algorithm has the least cost and it is indicated that PSO algorithm has more excellent vehicle path planning ability than adaptive genetic algorithm,genetic algorithm.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Vehicle Path Planning Method Based on Particle Swarm Optimization Algorithm



    Erschienen in:

    Advanced Materials Research ; 468-471 ; 2745-2748


    Erscheinungsdatum :

    2012-02-27


    Format / Umfang :

    4 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Path Planning of Quadrotor Based on Quantum Particle Swarm Optimization Algorithm

    Zhou, De Xin ;Ma, Xin Chao ;Ma, Teng Da | Trans Tech Publications | 2013


    Optimizing Robot Path Planning with the Particle Swarm Optimization Algorithm

    Falah Jaber Kshash / Ahmed Yahia Yaseen / Salam Saadoon Kals | BASE | 2023

    Freier Zugriff


    UAVs Path Planning by Particle Swarm Optimization Based on Visual-SLAM Algorithm

    Mughal, Umair Ahmad / Ahmad, Ishtiaq / Pawase, Chaitali J. et al. | Springer Verlag | 2022