In this paper we tackle a problem of optimal design and location of Tuned Mass Dampers (TMDs) for structures subjected to earthquake ground motions, using a novel meta-heuristic algorithm. Specifically, the Coral Reefs Optimization (CRO) with Substrate Layer (CRO-SL) is proposed as a competitive co-evolution algorithm with different exploration procedures within a single population of solutions. The proposed approach is able to solve the TMD design and location problem, by exploiting the combination of different types of searching mechanisms. This promotes a powerful evolutionary-like algorithm for optimization problems, which is shown to be very effective in this particular problem of TMDs tuning. The proposed algorithm's performance has been evaluated and compared with several reference algorithms in two building models with two and four floors, respectively.

翻译：本文采用一种新型元启发式算法，解决了地震激励下结构调谐质量阻尼器（TMD）的优化设计与定位问题。具体而言，我们提出了带有基底层（Substrate Layer）的珊瑚礁优化（CRO-SL）算法，该算法在单一解群体内融合了不同探索策略，是一种具有竞争力的协同进化算法。通过组合多种搜索机制，该方法能有效解决TMD设计与定位问题，从而形成一种适用于优化问题的类进化算法，并在TMD调谐这一特定问题中展现出卓越性能。通过两个分别为两层和四层的建筑模型，我们将所提算法的性能与多种参考算法进行了评估与对比。