遗传算法在桁架结构优化设计中的应用

OPTIMIZATION OF TRUSS STRUCTURES USING GENETIC ALGORITHM

摘要: 本文提出桁架结构系统优化设计的新方法-遗传算法。它与常规化算法的不同之处在于从多个初始点开始寻优,并采用交迭和变异算子避免过早地收敛到局部最优解,可获得全局最优解,且不受初始值影响。该算法不必求导计算,编程简单、快捷,尤其适用于具有离散变量的结构优化设计问题。
- 最优化设计 /
- 结构工程 /
- 离散变量
Abstract: This paper presents a genetic algorithm (GA) for optimizing truss structural system with discrete design variables. It differs from existing mathematical programming methods in that the GA uses a population of initial points in contrast to the single-point approach by the traditional ones. The optimal solution by GA is no longer dependent on initial search values, and will guarantee a global optimum. Derivative calculation is not necessary and computer program is simple. Genetic algorithm is best suited for structural optimizations which have discrete variables.
- optimizing design /
- structural engineering /
- discrete variables