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
2 Université Libanaise - Faculté de Génie
3 CCHP - Chaire sur les Composites à Haute Performance

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 stiened composite panel. The optimization criteria were the weight and the rigidity of the panel. Experimental results show that our suggested approach is quite eective, as it provides solutions that are competitive with the results obtained by using MOBA alone.

Domaines: Sciences de l'ingénieur [physics]

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⟩