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Information Journal Paper

Title

SOLVING A STOCHASTIC MULTI-DEPOT MULTI - OBJECTIVE VEHICLE ROUTING PROBLEM BY A SIMULATED ANNEALING

Pages

  25-36

Abstract

 In this paper, a STOCHASTIC multi-depot MULTI - OBJECTIVE VEHICLE ROUTING PROBLEM (VRP) is studied. Based on observations in real-world problems, we develop an aspect of the problem, such as STOCHASTIC availability of routes. To solve the problem in this situation, a two - objective mathematical model is developed, in which the related objective functions are: (1) minimizing transportation costs and (2) maximizing probability of delivery to customers. The second objective function, which is nonlinear, has performed to a linear function. Since this problem is NP-hard, to solve it we propose SIMULATED ANNEALING (SA) that is a well - known meta - heuristic algorithm. To show the performance of this algorithm, we compare the related results in terms of run - time and objective function values with the lower bound and Lingo 8 software for different sizes of the given problem.

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    APA: Copy

    HASANPOUR, H.A., MOSADEGHKHAH, M., & TAVAKOLI MOGHADAM, R.. (2009). SOLVING A STOCHASTIC MULTI-DEPOT MULTI - OBJECTIVE VEHICLE ROUTING PROBLEM BY A SIMULATED ANNEALING. ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), 43(1), 25-36. SID. https://sid.ir/paper/166409/en

    Vancouver: Copy

    HASANPOUR H.A., MOSADEGHKHAH M., TAVAKOLI MOGHADAM R.. SOLVING A STOCHASTIC MULTI-DEPOT MULTI - OBJECTIVE VEHICLE ROUTING PROBLEM BY A SIMULATED ANNEALING. ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING)[Internet]. 2009;43(1):25-36. Available from: https://sid.ir/paper/166409/en

    IEEE: Copy

    H.A. HASANPOUR, M. MOSADEGHKHAH, and R. TAVAKOLI MOGHADAM, “SOLVING A STOCHASTIC MULTI-DEPOT MULTI - OBJECTIVE VEHICLE ROUTING PROBLEM BY A SIMULATED ANNEALING,” ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), vol. 43, no. 1, pp. 25–36, 2009, [Online]. Available: https://sid.ir/paper/166409/en

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