基于小群体规模遗传算法的钢混单筋梁优化设计

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,采取邻域搜索技术和有限变异策略,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,并取得了较好的效果。

Optimization design of reinforced concrete beam with single reinforcement based on a small population size genetic algorithm

In this article, 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. A strategy of neighborhood searching and A restrictive mutation is taken to expand the ability of local searching and reduce the computation cost. The result of example indicates this algorithm have a good convergence and ability to get the best solution, and the computation cost is less.