It combines the own characteristics of vehicle scheduling, taking into account the both interests of the bus company and passengers, and establishes the vehicle scheduling plan model, taken the departure time (real value) as the gene variables to encode, and taken the difference between the adjacent grid spacing, the departure time interval of maximum and minimum, passenger load factor etc. to limit. With the example, the model is improved to optimize the solution. Finally, it is possible to reliably find an optimal or near-optimal solution program on vehicle scheduling optimization problem in transit huge search space. Through comparative analysis of the experimental results, it can verify the effectiveness of the improved algorithm and superiority.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Optimization Vehicle Scheduling Based on Simulated Annealing Genetic Algorithm


    Contributors:

    Published in:

    Advanced Materials Research ; 998-999 ; 1052-1057


    Publication date :

    2014-07-30


    Size :

    6 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    Fleet Scheduling Optimization: A Simulated Annealing Approach

    Sosnowska, D. / Rolim, J. | British Library Conference Proceedings | 2000


    Optimization of urban travel routes based on simulated annealing and genetic algorithm

    Qiu, Peizhen / Wang, Jing / Gu, Shuhuai et al. | SPIE | 2023



    Humanoid robot gait optimization: simulated annealing and genetic algorithm comparative study

    Pereira, Ana I. / Lima, José / Costa, Paulo Gomes da | BASE | 2013

    Free access