Metaheuristic computing imparts a high-level problem-independent algorithmic framework for resolving real-world search and optimization problems. Algorithms of metaheuristic computing are influenced by nature with a specific framework of local minima trap to solve the optimization problems. Metaheuristic algorithms are approximate, non-deterministic, and non- problem-specific, conducive to providing optimal solutions.
Notable applications of metaheuristic computation are power engineering systems, power electronics, renewable energy systems, medical imaging, financial time series prediction, and many more. Currently, several approaches are developed in metaheuristic computing by utilizing Artificial Intelligence (AI) techniques for many real-world applications. A better understanding of metaheuristic computing is attained by studying its research books which compile modeling, analysis, algorithms, applications, latest findings, and technological advancements within metaheuristic computing. The leading research journals proclaim the below-listed research books on metaheuristic computing.