基于改进自适应遗传算法的层合板铺层顺序优化方法

Stacking Sequence Optimization of Composite Laminates Based on a Modified Adaptive Genetic Algorithm

针对复合材料层合板的铺层顺序优化,设计随适应度自适应变化的变异算子和交叉算子,提出了一种改进的自适应遗传算法。通过铺层顺序优化算例证明:与标准遗传算法相比,改进的自适应遗传算法在组合优化方面具有更好的稳定性、收敛性和运行效率。针对不同的设计变量个数,变异算子和交叉算子应选取不同的参数;当设计变量较多时,自适应遗传算法选取P_(c1)=0.9,P_(c2)=0.6,P_(m1)=0.19,P_(m2)=0.01具有更优的收敛效率。

New mutation operator and crossover operator were raised,and a modified adaptive genetic algorithm was proposed to solve the stacking sequence optimization of composite laminates. Compared with standard genetic algorithm,the results of two examples in stacking sequence optimization proved that the modified adaptive algorithm has good convergence and efficiency. Mutation operator and crossover operator need different parameters according to the number of design variables. When the number of design variables is large,the P_(c1) of 0. 9,P_(c2) of 0. 6,P_(m)1 of 0. 39 and P_(m2) of 0. 01 were reasonable to obtain better convergence efficiency.