【摘要】 主要介绍了一种基于非连续设计变量的结构优化设计方法-遗传算法(GeneticAl gorithms,GA)。首先对遗传算法的来源、基本过程进行了论述;为了提高遗传算法的收敛性能,同时考虑到交叉率和变异率的选取问题,引入一种基于个体适应度值的自适应调整交叉率和变异率的自适应遗传算法,并通过算例表明自适应遗传算法是有效的。更多还原

【Abstract】 In this paper, a simple genetic algorithm (GA) is presented for optimizing the structural systems with discrete design variable. First, the origin, basic process of GA was discussed. In order to improve the convergence of GA, considering the difficulty in choosing the probability of crossover and mutation, an adaptive GA, in which the probability of crossover and mutation were varied depending on the fitness values of the solutions, was introduced. Finally, the availability of the adaptive GA was shown by an example.更多还原