Authors
Ahmad El Samrout, Oussama Braydi, Rafic Younes, Francois Trouchu, Pascal Lafon,
Title
A New Hybrid Method to Solve the Multi-objective Optimization Problem for a Composite Hat-Stiffened Panel
In
Studies in Computational Intelligence
Volume
774
Pages
77–88
Publisher
Springer
Year
2019
Publisher's URL
https://doi.org/10.1007/978-3-319-95104-1_5
Indexed by
Abstract
In this paper we present a new hybrid meta heuristic by combining Multi-objective bat algorithm (MOBA) and variable neighborhood search (VNS). The hybrid meta heuristic is coupled with response surface methodology (or meta modeling) to solve the mechanical multi-objective optimization problem of hat stiffened composite panel. The optimization criteria were the weight and the rigidity of the panel. Experimental results show that our suggested approach is quite effective, as it provides solutions that are competitive with the results obtained by using MOBA alone and other state of the art optimization algorithms. © Springer International Publishing AG, part of Springer Nature 2019.
Affiliations
Offprint