Optimization of Adhesive-Bonded Fiber Glass Strip using Imperialist Competitive Algorithm

This paper presents an implementation of the Imperialist Competitive Algorithm (ICA) in optimization of intermediate epoxy adhesive layer which is bonded between two dissimilar strips of material. The recently introduced ICA has demonstrated excellent capabilities such as faster convergence and better global optimum achievement. The results of ICA are finally compared with the Finite Element Method (FEM) and Genetic Algorithm (GA). In application, comparison shows the success of ICA for designing adhesive joints in composite materials.