Meta-heuristic algorithms: an appropriate approach in crack detection

A structural fault is a significant factor that represents a safety hazard in the proper functioning of the structure. Thus, the crack should be detected and remade before the diffusion and demolition of a structure. One of the famous techniques to identification damage and fault, are the optimization-based methods. In these methods, by an optimization algorithm within an iterative process an objective subordinates minimized. For damage recognizing methodology, these optimization algorithms have a remarkable efficient so that a broad type of them are utilized in identification problems. In other words, these algorithms can find acceptable solutions to optimize complex problems. Therefore, these heuristic algorithms use in various optimization problems like structures. The recognition of structural degradation has attracted the attention of many researchers in the past decades. Hence, the progress of crack detection using meta-heuristic algorithms and artificial intelligence is investigated in all types of structures, such as beams in this paper. This paper is purposed to help researchers in acquaintance performance of algorithms for structural damage detection and to develop more reliable and applicable methods for civil engineering structures in the future.