复合材料层合结构铺层顺序优化设计的免疫遗传算法

Immunity genetic algorithm for stacking sequence optimization in composite laminated structures

本文利用生物免疫系统对抗体浓度调节原理,提出了一种用于组合优化的免疫选择概率算子,同时考虑了抗体调节加权系数随搜索进行动态变化。对给定的复合材料层压板,以几何因子为优化对象,应用免疫遗传算法进行了铺层顺序的优化。应用四种不同遗传算法,对算例的优化结果进行了统计分析,结果表明:本文算法的成功率高,首次获全局最优解的迭代次数少,并能使种群收敛于全局最优解。

By use of the antibody consistency in genetic mechanism of immunity, this paper has presented a formula for selection probability in immunity genetic algorithm, which could be used in combinatorial optimization, and where the weighted coefficient of adjusting antibody has been dynamically varied along with searching. To optimize the geometry factors, the method of immunity genetic algorithm is applied to solve the optimization problem of ply stacking sequence of composite laminates with given plies. Statistical data of optimization results of example have been obtained and analyzed by four different genetic algorithms. The results indicate that the method proposed in this paper has high success probability in searching the best global solution, less iterations in first obtaining the best one, and that each individual in a random breed convergences to the best solution.