基于遗传算法的含集中质量和弹性支撑复合材料层合板固有频率优化设计

Optimal design for natural frequency of composite laminates with multi-lumped mass and spring supports by Genetic Algorithm

运用遗传算法对含集中质量和弹性支撑的复合材料层合板进行了以自振频率最大化为目标的优化设计,采用了灵活的整数编码方式和改进后的收敛准则,同时考虑了集中质量和弹性支撑的位置优化问题以及铺层顺序优化问题。通过大量试验计算,对遗传算法中的运行参数进行了合理设置,达到了计算结果为全局最优解的概率高于0.95,并且计算量最少的目标。

Genetic Algorithm （GA） is applied to the optimal design for the maximum of natural frequency of composite laminates with multi-lumped mass and spring supports. The flexible integer-coded and improved convergence rules are adopted. The position optimization problem of multi-lumped mass and spring supports and the sequence optimization problem of plies are considered together. The operating parameters of GA are reasonable set through a number of numerical examples with the purpose of making the probability of finding global optimal solution be more than 0.95 and reducing the calculating quantity.