Metaheuristic optimization algorithms for real-world electrical and civil engineering application: A review

Abstract

Metaheuristic optimization algorithms (MOAs) are gaining increasing interest because of their exceptional effectiveness in addressing many optimization issues. Nevertheless, these algorithms often face difficulties when used to solve real-world problems, necessitating further evaluation of these algorithms that are used to solve real-world problems. In addition, there is currently no established standard for evaluating algorithmic performance. MOAs successfully address engineering challenges due to their inherent complexity and multidimensional character. Several studies have explored the use of these algorithms to tackle electrical and civil engineering problems, highlighting their practical importance. This study thoroughly examined the most recent papers on electrical and civil engineering topics, specifically focusing on the extraction of parameters and optimization of models.