遗传算法在离散变量结构优化设计中的应用  

The Application of a Genetic Algorithm in Structure Design Optimization with Discrete Variables

作　　者：陈新度[1] 秦叶[1] 陈新[1] 余俊 

机构地区：[1]广东工业大学

出　　处：《华中理工大学学报》1997年第8期44-46,共3页Journal of Huazhong University of Science and Technology

基　　金：国家自然科学基金

摘　　要：研究适于离散变量结构优化设计的遗传算法．探讨了离散变量结构优化问题的基因表达模式，提出了一种减小基因搜索范围的子空间构造方法．该算法可处理受应力、位移约束的结构优化问题．数值计算实例表明该算法效率高。A genetic algorithm suitable for using in structure design optimization with discrete variables is developed. The genetic scheme representing the structure design problem with discrete variables is presented, and a sub space constructing method for reducing the genetic search region is proposed. The algorithm developed can be used to deal with structure optimization problems with stress and displacement constraints. A numerical example shows that it is of high efficiency and good adaptability.

关 键 词：遗传算法 结构优化 离散变量 子空间构造 

分 类 号：TB114[理学—概率论与数理统计] TB12[理学—数学]