IWSA_PBSDO_Data

This data is associated with the paper entitled “Performance-based seismic design optimization of steel frames under system and component constraints using the improved water strider algorithm”. Four algorithms consisting of IWSA (improved water strider algorithm), WSA (water strider algorithm), PSO (particle swarm optimization) and ECBO (enhanced colliding bodies optimization) are utilized for carrying out the optimization. The algorithms have been run multiple times for each structure to provide meaningful statistical results such as mean value and standard deviation. For the 6-storey frame, each algorithm has been run 10 times independently, and for the 12-storey frame 6 independent runs were carried out. The results of the algorithms are provided in this repository. Frame6 and Frame12 include the data for the 6-storey and 12-storey frame, respectively.

本数据集关联的论文题为《采用改进水黾算法的系统与构件约束下钢框架基于性能抗震设计优化》。本次优化共采用四种算法，分别为改进水黾算法（improved water strider algorithm，缩写IWSA）、水黾算法（water strider algorithm，缩写WSA）、粒子群优化（particle swarm optimization，缩写PSO）以及增强碰撞体优化算法（enhanced colliding bodies optimization，缩写ECBO）。为获得具有统计学意义的结果（如均值与标准差），各算法需针对每个结构多次运行：针对6层钢框架，每种算法独立运行10次；针对12层钢框架，每种算法独立运行6次。本仓库已提供各算法的优化结果，其中Frame6与Frame12分别对应6层钢框架与12层钢框架的数据集。