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Title

avibration damping optimization algorithm for solving the single item Capacitated Lot-sizing Problem with Fuzzy Parameters

Year: 1396
COI: JR_IJIEPR-28-1_004
Language: EnglishView: 434
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Authors

esmaeil mehdizadeh - Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University
amir fatehi kivi - Department of Industrial Engineering, Khalkhal Branch, Islamic Azad University

Abstract:

In this paper, we propose a vibration damping optimization algorithm to solve a fuzzy mathematical model for the single-item capacitated lot-sizing problem. At first, a fuzzy mathematical model for the single-item capacitated lot-sizing problem is presented. The possibility approach is chosen to convert the fuzzy mathematical model to crisp mathematical model. The obtained crisp model is in the form of mixed integer linear programming (MILP) which can be solved by the existing solver in crisp environment to find the optimal solution. Due to the complexity and NP-hardness of the problem, a vibration damping optimization (VDO) is used to solve the model for large-scale problems. To verify the performance of the proposed algorithm, we computationally compared the results obtained by the VDO algorithm with the results of the branch-and-bound method and two other well-known meta-heuristic algorithms namely simulated annealing (SA) and genetic algorithm (GA). Additionally, Taguchi method is used to calibrate the parameters of the meta-heuristic algorithms. Computational results on a set of randomly generated instances show that the VDO algorithm compared with the other algorithms can obtain appropriate solutions

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This Paper COI Code is JR_IJIEPR-28-1_004. 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/665720/

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mehdizadeh, esmaeil and fatehi kivi, amir,1396,avibration damping optimization algorithm for solving the single item Capacitated Lot-sizing Problem with Fuzzy Parameters,https://civilica.com/doc/665720

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Type of center: Azad University
Paper count: 10,932
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