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Cites:

Information Journal Paper

Title

Accelerated Heuristic Approaches to the Capacitated Facility Location Problem

Pages

  191-211

Abstract

 In this paper, a heuristic solution approach to the single source capacitated Facility Location problem is considered. As a first step, a local search method is designed to perform quick simple moves in the solution structure. Then, the greedy manner of the local search is combined by Simulated Annealing meta-heuristic. Such a careful combination would allow escaping local optima with the aim of more diversified search capabilities. The method, then makes use of acceleration mechanisms to enhance search process. Here, we combine the algorithm with two different acceleration mechanisms namely consecrating mechanism and parallelizing mechanism. Such a combination will define two different versions of the mentioned search strategy based on simulated annealing meta-heuristic. Computational results obtained over the existing standard benchmark instances, not only demonstrate the superiority of the proposed method over the best existing ones, but also announce the method as an effective practical tool to tackle the problem.

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  • Cite

    APA: Copy

    MORADI, AHMAD, & Valinejad, Ali. (2018). Accelerated Heuristic Approaches to the Capacitated Facility Location Problem. MODERN RESEARCHES IN DECISION MAKING, 3(3 ), 191-211. SID. https://sid.ir/paper/370693/en

    Vancouver: Copy

    MORADI AHMAD, Valinejad Ali. Accelerated Heuristic Approaches to the Capacitated Facility Location Problem. MODERN RESEARCHES IN DECISION MAKING[Internet]. 2018;3(3 ):191-211. Available from: https://sid.ir/paper/370693/en

    IEEE: Copy

    AHMAD MORADI, and Ali Valinejad, “Accelerated Heuristic Approaches to the Capacitated Facility Location Problem,” MODERN RESEARCHES IN DECISION MAKING, vol. 3, no. 3 , pp. 191–211, 2018, [Online]. Available: https://sid.ir/paper/370693/en

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