A new hybrid method to solve the multi-objective optimization problem for a composite hat-stiffened panel - Université de technologie de Troyes
Communication Dans Un Congrès Année : 2016

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

Résumé

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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Dates et versions

hal-02780103 , version 1 (04-06-2020)

Identifiants

  • HAL Id : hal-02780103 , version 1

Citer

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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