Metaheuristic algorithms have been widely utilized to optimize complex and nonlinear problems from structural engineering domain. These algorithms offer an efficient way to search through large solution spaces and find optimal or near-optimal solutions. There are several metaheuristic algorithms such as Genetic Algorithm, Particle Swarm Optimization, Ant Colony Optimization, Firefly Algorithm, etc. These metaheuristic algorithms offer powerful optimization techniques that can handle a wide range of structural engineering design problems. The choice of algorithm depends on the specific problem characteristics, the complexity of the design, and the desired trade-offs between solution quality and computational efficiency.