New optimization algorithms have been increasingly developed in the course of the recent years. The accuracy of identified results in optimization‐based damage detection methods depends on the objective function and optimization algorithm. This paper employs multiverse Optimizer (MVO) to solve the optimization‐based damage identification problem. Statistical results obtained by MVO are compared with those of sine cosine algorithm (SCA) and Harris hawks optimization (HHO) in order to perform a comparative study. Two objective functions are used in this optimization problem. The first one is based on the modal assurance criterion (MAC) and the second one on modified total modal assurance criterion (MTMAC). Numerical and experimental examples indicate that the combination of objective function based on MTMAC and MVO algorithm can provide accurate and reliable results in structural damage detection process. MAC is also rejected in competition with MTMAC. While using SCA‐MTMAC, the accuracy of the results is acceptable in some cases. However, HHO‐MTMAC gives weak results in most cases. MVO and SSA are the lowest, and HHO spends significantly more time in terms of computational cost.

中文翻译：

---

用于结构损伤检测的多宇宙优化器：数值研究和实验验证

近年来，新的优化算法已经越来越多地开发。基于优化的损坏检测方法中识别结果的准确性取决于目标函数和优化算法。本文采用多宇宙优化器（MVO）来解决基于优化的损伤识别问题。将通过MVO获得的统计结果与正弦余弦算法（SCA）和哈里斯霍克斯优化（HHO）的统计结果进行比较，以进行比较研究。在此优化问题中使用了两个目标函数。第一个基于模式保证标准（MAC），第二个基于修改的总模式保证标准（MTMAC）。数值和实验算例表明，基于MTMAC和MVO算法的目标函数相结合可以为结构损伤检测过程提供准确可靠的结果。在与MTMAC的竞争中，MAC也被拒绝。使用SCA‐MTMAC时，在某些情况下结果的准确性是可以接受的。但是，在大多数情况下，HHO-MTMAC给出的结果较弱。MVO和SSA最低，就计算成本而言，HHO花费的时间明显更多。