The Handbook of Metaheuristics, edited by Fred Glover and Gary A. Kochenberger, is a comprehensive resource covering the latest advancements and applications in metaheuristic optimization methods. Metaheuristics are solution techniques that combine local improvement procedures with higher-level strategies to escape local optima and explore solution spaces robustly. The book includes 19 chapters that discuss various metaheuristic approaches such as Scatter Search, Tabu Search, Genetic Algorithms, and Hyper-Heuristics. Each chapter provides both theoretical foundations and practical implementation guides, making it a valuable resource for both researchers and practitioners. The editors highlight the effectiveness of metaheuristics in solving complex, combinatorial problems, where exact methods often fail due to their limited flexibility and computational requirements. The handbook aims to encourage wider adoption of metaheuristic methods and stimulate further research in this evolving field.The Handbook of Metaheuristics, edited by Fred Glover and Gary A. Kochenberger, is a comprehensive resource covering the latest advancements and applications in metaheuristic optimization methods. Metaheuristics are solution techniques that combine local improvement procedures with higher-level strategies to escape local optima and explore solution spaces robustly. The book includes 19 chapters that discuss various metaheuristic approaches such as Scatter Search, Tabu Search, Genetic Algorithms, and Hyper-Heuristics. Each chapter provides both theoretical foundations and practical implementation guides, making it a valuable resource for both researchers and practitioners. The editors highlight the effectiveness of metaheuristics in solving complex, combinatorial problems, where exact methods often fail due to their limited flexibility and computational requirements. The handbook aims to encourage wider adoption of metaheuristic methods and stimulate further research in this evolving field.