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 mathematic model was built to optimize the inplane geometry and bend factors. The optimization result was searched by cross and 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 inplane geometry and bend factors. The numerical results show the superiority and practicability of GA of immunity comparing with the results of standard GA.
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