Two-Objective Stacking Sequence Optimization of a Cylindrical Shell Using Genetic Algorithm

In this paper, the stacking sequence optimization of a laminated cylindrical shell has been studied for obtaining maximum natural frequency and buckling stress, simultaneously. an anisotropiccylindrical shell has a finite length with simply supported conditions at both ends: threedimensional elasticity approaches are used for free vibration analysis and the buckling stress function is based on the theory of classic shells. a genetic algorithm is used for optimizationand, regarding the two-objective problem, a pareto-optimally curve is used to help determine the .best way to simultaneously satisfy all objectives. finally, numerical results are presented for theoptimization of a six-layer cylindrical shell.