A real-coded GA algorithm for optimizing the damping response of composite laminates

Abstract

We develop a real-coded constrained genetic algorithm (GA) and assess its performance in selected classical optimisation problems. The proposed GA uses a roulette selection method, BLX-α crossover operation, non-uniform mutation along with single elitist selection at every generation. The GA is then applied, in conjunction with the finite element (FE) method, to optimise the damping response of a laminate comprising unidirectional composite laminae and viscoelastic damping layers. Modal loss factors are maximised against the constraints of given structural stiffness and mass.