• DocumentCode
    2964808
  • Title

    Mode of the Multi-Objective Optimization of SITS Operation Network Plan Based on NSGA-II

  • Author

    He, Xinhua

  • Author_Institution
    Sch. of Econ. Manage., Shanghai Maritime Univ., Shanghai, China
  • fYear
    2011
  • fDate
    12-14 Aug. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    SITS(shipping intelligent transportation system) operation is complex problem for decision making, which plays an important role in our country´s society and economy as well as in our multi-modal transportation system. Based on the analysis of network planning optimization method for SITS operation, this paper establishes the quality - duration - the cost optimization model with the characteristics of network planning for SITS operation. Then it proposes the multi-objective optimization method based on NSGA-II. The method is GA that using non-dominated sort about crowding distance and elitism strategy. Through chromosome coding based on process, it optimizes the search space of solution. With the roulette wheel selection, arithmetic crossover and mutation operation, this paper gets the Pareto optimal solution collection that can allow decision-makers to choose. At last, an example confirms that the optimization method can solve the Pareto optimal solution collection from establishing the optimization model, using MATLAB7.0 simulation program.
  • Keywords
    Pareto optimisation; automated highways; decision making; genetic algorithms; GA; NSGA-II; Pareto optimal solution; SITS; complex problem; cost optimization model; decision making; multimodal transportation system; multiobjective optimization; network planning; operation network; shipping intelligent transportation system; Biological cells; Mathematical model; Pareto optimization; Planning; Sorting; Transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science (MASS), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6579-8
  • Type

    conf

  • DOI
    10.1109/ICMSS.2011.5998259
  • Filename
    5998259