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Title

A New Hybrid Algorithm to Optimize Stochastic-fuzzy Capacitated Multi-Facility Location-allocation Problem

Year: 1389
COI: JR_JOIE-4-7_008
Language: EnglishView: 215
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Authors

Esmaeil Mehdizadeh - Assistant Professor, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Mohammad Reza Tavarroth - MSc, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Vahid Hajipour - MSc, Young Researchers Club, Qazvin Branch, Islamic Azad University, Qazvin, Iran

Abstract:

Facility location-allocation models are used in a widespread variety of applications to determine the number of required facility along with the relevant allocation process. In this paper, a new mathematical model for the capacitated multi-facility location-allocation problem with probabilistic customer s locations and fuzzy customer’s demands under the Hurwicz criterion is proposed. This model is formulated as α- cost minimization model according to different criteria. Since our problem is strictly Np-hard, a new hybrid intelligent algorithm is presented to solve the stochastic-fuzzy model. The proposed algorithm is based on a vibration damping optimization (VDO) algorithm which is combined with the simplex algorithm and fuzzy simulation (SFVDO). Finally, a numerical example is presented to illustrate the capability of the proposed solving methodologies

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Paper COI Code

This Paper COI Code is JR_JOIE-4-7_008. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/790919/

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If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Mehdizadeh, Esmaeil and Tavarroth, Mohammad Reza and Hajipour, Vahid,1389,A New Hybrid Algorithm to Optimize Stochastic-fuzzy Capacitated Multi-Facility Location-allocation Problem,https://civilica.com/doc/790919

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Type of center: Azad University
Paper count: 10,934
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