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Optimisation multi-objectif pour le problème de dimensionnement de buffers

Abstract : In this paper, we are studying the buffer sizing problem in production lines. It is one of the most studied subjects in the literature with one criterion but shows a lack of studies in its multiobjective form. Therefore, we present two multiobjective optimization techniques to solve the problem and which are: the second version of the Strength Pareto Evolutionary Algorithm (SPEA2) and a multiobjective ant colony optimization algorithm. Three measures are used in order to compare the performances of the two developed algorithms. The algorithms are then applied for buffers sizing in a packaging line. A simulation model with the ARENA software is used for the performances evaluations. The simulation model is coupled with the optimization algorithms applying then the simulation based optimization technique. The numerical results of the algorithm based on ant colony are very relevant and show an advantage compared to the SPEA2.
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Contributor : Daniel Gavrysiak Connect in order to contact the contributor
Submitted on : Friday, March 6, 2020 - 12:32:35 PM
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Hicham Chehade, Farouk Yalaoui, Lionel Amodeo, Pascal de Guglielmo. Optimisation multi-objectif pour le problème de dimensionnement de buffers. Journal of Decision Systems, Abingdon Oxfordshire UK: Routledge Taylor & Francis Group, 2012, 18 (2), pp.257-287. ⟨10.3166/jds.18.257-287⟩. ⟨hal-02500769⟩



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