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A new hybrid method to solve the multi-objective optimization problem for a composite hat-stiffened panel

Ahmad El Samrout 1 Oussama Braydi 1 Rafic Younes 2 Francois Trochu 3 Pascal Lafon 1
1 LASMIS - Laboratoire des Systèmes Mécaniques et d'Ingénierie Simultanée
ICD - Institut Charles Delaunay
2 Université Libanaise - Faculté de Génie
3 CCHP - Chaire sur les Composites à Haute Performance
Abstract : In this paper we present a new hybrid meta heuristic by combining Multi-objective bat algorithm (MOBA) and variable neigh- borhood search (VNS). The hybrid meta heuristic is coupled with re- sponse surface methodology (or meta modeling) to solve the mechanical multi-objective optimization problem of hat sti ened composite panel. The optimization criteria were the weight and the rigidity of the panel. Experimental results show that our suggested approach is quite e ective, as it provides solutions that are competitive with the results obtained by using MOBA alone.
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Conference papers
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https://hal-utt.archives-ouvertes.fr/hal-02780103
Contributor : Jean-Baptiste Vu Van <>
Submitted on : Thursday, June 4, 2020 - 5:27:01 PM
Last modification on : Friday, June 5, 2020 - 4:23:03 AM

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  • HAL Id : hal-02780103, version 1

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Ahmad El Samrout, Oussama Braydi, Rafic Younes, Francois Trochu, Pascal Lafon. A new hybrid method to solve the multi-objective optimization problem for a composite hat-stiffened panel. 6th International Conference on Metaheuristics and Nature Inspired Computing (META'16), Oct 2016, Marrakech, Morocco. ⟨hal-02780103⟩

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