摘要
简要介绍了遗传算法的基本原理,以及使用遗传算法进行离散变量结构优化的过程。针对传统的遗传算法在优化过程中的不足之处,介绍了几种改进方案,分别应用于遗传算法的编码、搜索、目标函数的生成等各个环节,以提高整个算法的执行效率。
In this paper, the basic principle of genetic algorithms, and the procedure of structural optimization with discrete variables using genetic algorithms are introduced concisely. Aiming at the disadvantages of traditional genetic algorithms, several improved schemes are introduced. They are employed in the chains of encoding, searching, and the generation of the objective function in order to improve the efficiency of the entire algorithm.
出处
《世界地震工程》
CSCD
2002年第4期131-135,共5页
World Earthquake Engineering
关键词
遗传算法
离散变量
结构优化
改进方案
genetic algorithms
discrete variable
structural optimization
improved scheme
