Quantum-behaved Particle Swarm Optimization (QPSO) algorithm is employed to solve route planning problems in view of premature convergence of Particle Swarm Optimization (PSO) algorithm. The simulation results show that compared with PSO, QPSO has stronger global search ability and faster convergence speed. The feasibility and efficiency of QPSO on route planning is proved.


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    Title :

    Research on route planning based on quantum-behaved particle swam optimization algorithm


    Contributors:
    Li, Ting (author) / Zhang, Jinsheng (author) / Wang, Shicheng (author) / Lv, Zhifeng (author)


    Publication date :

    2014-08-01


    Size :

    233445 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English