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Information Journal Paper

Title

A HYBRID CS-SA INTELLIGENT APPROACH TO SOLVE UNCERTAIN DYNAMICFACILITY LAYOUT PROBLEMS CONSIDERING DEPENDENCY OF DEMANDS

Pages

  429-442

Abstract

 This paper aims at proposing a quadratic assignment-based mathematical model to deal with the stochasticdynamic FACILITY LAYOUT PROBLEM. In this problem, productdemands are assumed to be dependent normally distributedrandom variables with known probability density functionand covariance that change from period to period at random. To solve the proposed model, a novel hybrid intelligentalgorithm is proposed by combining the simulated annealingand clonal selection algorithms. The proposed model and thehybrid algorithm are verified and validated using design ofexperiment and benchmark methods. The results show thatthe hybrid algorithm has an outstanding performance fromboth solution quality and computational time points of view. Besides, the proposed model can be used in both of thestochastic and deterministic situations.

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    APA: Copy

    Moslemipour, Ghorbanali. (2018). A HYBRID CS-SA INTELLIGENT APPROACH TO SOLVE UNCERTAIN DYNAMICFACILITY LAYOUT PROBLEMS CONSIDERING DEPENDENCY OF DEMANDS. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, 14(2), 429-442. SID. https://sid.ir/paper/310140/en

    Vancouver: Copy

    Moslemipour Ghorbanali. A HYBRID CS-SA INTELLIGENT APPROACH TO SOLVE UNCERTAIN DYNAMICFACILITY LAYOUT PROBLEMS CONSIDERING DEPENDENCY OF DEMANDS. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL[Internet]. 2018;14(2):429-442. Available from: https://sid.ir/paper/310140/en

    IEEE: Copy

    Ghorbanali Moslemipour, “A HYBRID CS-SA INTELLIGENT APPROACH TO SOLVE UNCERTAIN DYNAMICFACILITY LAYOUT PROBLEMS CONSIDERING DEPENDENCY OF DEMANDS,” JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, vol. 14, no. 2, pp. 429–442, 2018, [Online]. Available: https://sid.ir/paper/310140/en

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