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Buffers sizing in assembly lines using a Lorenz multiobjective ant colony optimization algorithm

Abstract : In this paper, a new multiobjective resolution approach is proposed for solving buffers sizing problems in assembly lines. The considered problem consists of sizing the buffers between the different stations in a line taking in consideration that the size of each buffer is bounded by a lower and an upper value. Two objectives are taken in consideration: the maximization of the throughput rate and the minimization of the total size of the buffers. The resolution method is based on a multiobjective ant colony algorithm but using the Lorenz dominance instead of the well-known Pareto dominance relationship. The Lorenz dominance relationship provides a better domination area by rejecting the solutions founded on the extreme sides of the Pareto front. The obtained results are compared with those of a classical Multiobjective Ant Colony Optimization Algorithm. For that purpose, three different measuring criteria are applied. The numerical results show the advantages and the efficiency of the Lorenz dominance.
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https://hal-utt.archives-ouvertes.fr/hal-02491601
Contributor : Daniel Gavrysiak <>
Submitted on : Wednesday, February 26, 2020 - 11:34:44 AM
Last modification on : Thursday, February 27, 2020 - 1:55:01 AM

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Hicham Chehade, Farouk Yalaoui, Lionel Amodeo, Frédéric Dugardin. Buffers sizing in assembly lines using a Lorenz multiobjective ant colony optimization algorithm. 2010 International Conference on Machine and Web Intelligence (ICMWI), Oct 2010, Algiers, Algeria. pp.283-287, ⟨10.1109/ICMWI.2010.5647916⟩. ⟨hal-02491601⟩

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