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运用蚁群优化法(ACO)对钢结构进行了基于性能的抗震设计。这个离散的数学运算法比其他算法更为有效并精确。采用了非线性分析以得到结构在各种地震性能水平下的结构响应,采用一个简单的计算机程序,对包含一阶弹性和二阶几何刚度的特性进行推覆分析。采用两个实例说明了ACO在轻钢结构中的应用,证明其可满足抗弯钢结构在多种地震性能水平下的要求,同时也与标准遗传算法的结果进行对比,表明ACO更适合解决此类优化问题。
Ant Colony Optimization (ACO) was used to perform performance-based seismic design of steel structures. This discrete mathematical algorithm is more efficient and accurate than other algorithms. Nonlinear analysis was used to obtain the structural response of the structure at various seismic performance levels. A simple computer program was used to conduct a pendulum analysis of the characteristics of the first-order elastic and second-order geometric stiffness. Two examples are given to illustrate the application of ACO in light steel structures and to prove that it can meet the requirements of bending steel structures under various seismic performance levels and also compare with the results of standard genetic algorithms, indicating that ACO is more suitable for solving this Class optimization problem.