A Review on Metaheuristic Approaches for Optimization Problems

Based on various sources of inspiration, there are different metaheuristic algorithms, such as swarm intelligence, evolutionary computation, and bio-inspired algorithms, available in the literature. Among these algorithms, few approaches have been proven representative of each category for their excellence in solving a critical real-world problem in various application areas. However, some approaches are inadequately interpreted. A comprehensive general survey of these algorithms is rarely seen in the literature. Therefore, this study aims at a comprehensive view of metaheuristic approaches, performing a survey on existing literature. It explores all the different dimensions of metaheuristic approaches, their representations, improvement and hybridization, successful application, research gaps, and future direction.