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Information Journal Paper

Title

SOLVING MULTI-OBJECTIVE LOCATION-ALLOCATION PROBLEMS USING SIMULATED ANNEALING

Pages

  93-105

Keywords

Not Registered.

Abstract

 In this paper, multi-objective set covering problems (MOSCP) as one of the location-allocation models are being considered. Here, the objective is to minimize the cost of locating facilities and at the same time to maximize demand satisfaction in a defined structure so that each customer or zone is being covered by at least one facility. Since the problem falls into NP-hard category from the complexity point of view, it cannot be solved in a reasonable computational time period by an exact algorithm. For this reason, a Simulated Annealing (SA) algorithm is proposed to solve MOSCP. The algorithm is a meta-heuristic approach coupled with a neighborhood search technique.The validity and quality of the proposed method is tested by solving benchmark problems and the results obtained were quite satisfactory.

Cites

References

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  • Cite

    APA: Copy

    TAGHAVIFARD, MOHAMMAD TAGHI, & SHAHSAVARI, ARIAN. (2009). SOLVING MULTI-OBJECTIVE LOCATION-ALLOCATION PROBLEMS USING SIMULATED ANNEALING. INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION MANAGEMENT (IJIE) (INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE) (PERSIAN), 19(4), 93-105. SID. https://sid.ir/paper/65910/en

    Vancouver: Copy

    TAGHAVIFARD MOHAMMAD TAGHI, SHAHSAVARI ARIAN. SOLVING MULTI-OBJECTIVE LOCATION-ALLOCATION PROBLEMS USING SIMULATED ANNEALING. INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION MANAGEMENT (IJIE) (INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE) (PERSIAN)[Internet]. 2009;19(4):93-105. Available from: https://sid.ir/paper/65910/en

    IEEE: Copy

    MOHAMMAD TAGHI TAGHAVIFARD, and ARIAN SHAHSAVARI, “SOLVING MULTI-OBJECTIVE LOCATION-ALLOCATION PROBLEMS USING SIMULATED ANNEALING,” INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION MANAGEMENT (IJIE) (INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE) (PERSIAN), vol. 19, no. 4, pp. 93–105, 2009, [Online]. Available: https://sid.ir/paper/65910/en

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