Fuzzy fixed charge solid transportation problem and algorithm

  • Authors:
  • Lixing Yang;Linzhong Liu

  • Affiliations:
  • State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China;Institute of System Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China

  • Venue:
  • Applied Soft Computing
  • Year:
  • 2007

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Abstract

This paper mainly investigates the fixed charge solid transportation problem under fuzzy environment, in which the direct costs, the fixed charges, the supplies, the demands and the conveyance capacities are supposed to be fuzzy variables. As a result, several new models, i.e., expected value model, chance-constrained programming model and dependent-chance programming model, are constructed on the basis of credibility theory. After that, the crisp equivalences are also discussed for different models. In order to solve the models, hybrid intelligent algorithm is designed based on the fuzzy simulation technique and tabu search algorithm. Finally, two application results are given to show the applications of the models and algorithm.