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

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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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Dates and versions

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

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  • HAL Id : hal-02780103 , version 1

Cite

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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