摘要
针对遗传算法在结构优化应用中的缺点以及钢筋混凝土单筋梁的特点,提出了一种小群体规模遗传算法,同时给出适用的钢筋混凝土单筋梁优化设计的数学模型和适应度函数,来寻求钢筋混凝土单筋梁的满足约束、造价最低的设计方案。算例表明这种方法有很强的全局搜索能力,能减少结构特性计算量,收敛速度快,能有效解决单筋梁的优化问题。
In this paper, a small population size genetic algorithm is presented for the least cost design of reinforced concrete beam with single reinforcement. It also presents a mathematical model and a fitness function to optimize the design. The result of example indicates this algorithm have a good convergence and ability to get the best solution, the computation cost is little , too.
出处
《工程建设与设计》
2004年第12期13-15,共3页
Construction & Design for Engineering
关键词
钢筋混凝土梁
离散变量
遗传算法
小规模群体
reinforced concrete beam
discrete variable
genetic algorithm
small population size
