β-Robustness approach for fuzzy multi-objective problems

Abstract : The paper addresses the robustness of multi-objective optimization problems with fuzzy data, expressed via triangular fuzzy numbers. To this end, we introduced a new robustness approach able to deal with fuzziness in the multi-objective context. The proposed approach is composed of two main contributions: First, new concepts of β-robustness are proposed to analyze fuzziness propagation to the multiple objectives. Second, an extension of our previously proposed evolutionary algorithms is suggested for integrating robustness. These proposals are illustrated on a multi-objective vehicle routing problem with fuzzy customer demands. The experimental results on different instances show the efficiency of the proposed approach.
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Communication dans un congrès
IPMU‘2016 - 16th Int. Conference On Information Processing and Management on Uncertainty in Knowledge-based Systems, 2016, Eindhoeven, Netherlands. pp.225-237, 〈10.1007/978-3-319-40581-0_19〉
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https://hal.inria.fr/hal-01423494
Contributeur : Talbi El-Ghazali <>
Soumis le : jeudi 29 décembre 2016 - 20:56:45
Dernière modification le : mardi 3 juillet 2018 - 11:46:49

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Oumayma Bahri, El-Ghazali Talbi, Nahla Benamor. β-Robustness approach for fuzzy multi-objective problems. IPMU‘2016 - 16th Int. Conference On Information Processing and Management on Uncertainty in Knowledge-based Systems, 2016, Eindhoeven, Netherlands. pp.225-237, 〈10.1007/978-3-319-40581-0_19〉. 〈hal-01423494〉

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