Stacking sequence optimization of composite laminate applying genetic algorithm of immunity

The sequence of composite laminate was optimized by genetic algorithm (GA) of immunity. The immunity mechanism was used to improve the convergence efficiency and solve the precocity problem of GA. The mathematical model was built to optimize the in-plane geometry and bend factors. The optimization result was searched by cross, mutation and other genetic operations. The acceleration and restrain mechanism of immunity system was used to adjust the diversity of individuals. The stacking sequence of composite laminate was calculated at given in-plane geometry and bend factors. The numerical results show the superiority and practicability of GA of immunity comparing with the results of standard GA.