Steel dome structures, with their striking structural forms, take a place among the impressive and aesthetic load bearing systems featuring large internal spaces without internal columns. In this paper, the seismic design optimization of spatial steel dome structures is achieved through three recent metaheuristic algorithms that are water strider (WS), grey wolf (GW), and brain storm optimization (BSO). The structural elements of the domes are treated as design variables collected in member groups. The structural stress and stability limitations are enforced by ASD-AISC provisions. Also, the displacement restrictions are considered in design procedure. The metaheuristic algorithms are encoded in MATLAB interacting with SAP2000 for gathering structural reactions through open application programming interface (OAPI). The optimum spatial steel dome designs achieved by proposed WS, GW, and BSO algorithms are compared with respect to solution accuracy, convergence rates, and reliability, utilizing three real-size design examples for considering both the previously reported optimum design results obtained by classical metaheuristic algorithms and a gradient descent-based hyperband optimization (HBO) algorithm.

钢穹顶结构以其引人注目的结构形式，在令人印象深刻且美观的承重系统中占有一席之地，其特点是没有内部柱子的大内部空间。本文通过水黾(WS)、灰狼(GW)和头脑风暴优化(BSO)三种最新的元启发式算法实现空间钢穹顶结构的抗震设计优化。圆顶的结构元素被视为成员组中收集的设计变量。结构应力和稳定性限制由 ASD-AISC 规定强制执行。此外，在设计过程中考虑了位移限制。元启发式算法在与 SAP2000 交互的 MATLAB 中编码，用于通过开放应用程序编程接口 (OAPI) 收集结构反应。