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Information Journal Paper

Title

Hybrid Genetic for the Single-Source Capacitated Multi-Facility Weber Problem

Pages

  287-299

Abstract

 In this paper, we investigate the Single-Source Capacitated Multi-Facility Weber Problem. The aim is to locate several new facilities among existing customers and simultaneously allocate customers to facilities, so that capacity constraints are met and each customer will provide all its demand from just one facility, and as a result, the total cost of transporting between new facilities and existing customers gets minimum. A Genetic Algorithm is proposed for solving the problem, in which a Local Search method is embedded. The proposed Genetic Algorithm is tested on existing data sets to evaluate its robustness over available methods in the literature.

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    APA: Copy

    JAHADI, S., & SOLIMANPUR, M.. (2021). Hybrid Genetic for the Single-Source Capacitated Multi-Facility Weber Problem. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, 13(3 ), 287-299. SID. https://sid.ir/paper/968906/en

    Vancouver: Copy

    JAHADI S., SOLIMANPUR M.. Hybrid Genetic for the Single-Source Capacitated Multi-Facility Weber Problem. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS[Internet]. 2021;13(3 ):287-299. Available from: https://sid.ir/paper/968906/en

    IEEE: Copy

    S. JAHADI, and M. SOLIMANPUR, “Hybrid Genetic for the Single-Source Capacitated Multi-Facility Weber Problem,” INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, vol. 13, no. 3 , pp. 287–299, 2021, [Online]. Available: https://sid.ir/paper/968906/en

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