离散变量结构优化设计算法研究综述

Study of optimum design for structure with discrete variables

对离散变量结构优化设计的算法作了总结，这些算法被分成传统的方法和现代方法。对其中的一些算法作了描述，如圆整法、相对差商法、模拟退火算法、遗传算法、 Tabu搜索算法。指出了拓扑优化存在奇异最优解问题，并介绍了奇异最优解的处理方法。

The methods for discrete variable optimization are reviewed,which are classified into traditional methods and modern methods. Some methods are described such as rounding－ off, relative difference quotient, simulated annealing, genetic and Tabu search algorithm. The problems such as“ the singular solution of structural optimization” for topological optimization are mentioned and the solving methods for this problem are described.