复合材料层合结构优化设计的遗传算法

为提高复合材料层合结构优化设计中遗传算法(GA)的可靠性和计算效率，提出了一些改进措施．如自适应杂交、自适应突变、多重动态优选和冒泡等遗传算子。它们不仅可避免算法收敛于局部最优解，而且能防止优良基因结构遭到破坏，从而显著提高遗传算法的可靠性和收敛速度。计算应用的结果表明，改进后的遗传算法有较高的计算效率和可靠性。

The Genetic Algorithm Used in Composite Laminated Structures

In allusion to design optimization of composite laminated structures, some improved measures are presented to enhance the reliability and efficiency of genetic algorithms. Genetic operators such as adaptive crossover, adaptive mutation, multiple active selection and bubble up are developed to avoid algorithm to converge in local optima and to prevent excellent genes from being destroyed so that the reliability and convergence velocity of genetic algorithms are enhanced remarkably. The numerical results are indicated that the improved genetic algorithm has both superior efficiency and reliability.