"Adaptive and Multilevel Metaheuristics" is a specialized book that focuses on the latest developments in the field of adaptive metaheuristics. It highlights the importance of tailoring optimization techniques to specific problems in order to achieve optimal performance. The author discusses how transferring part of the adaptation work to the algorithms themselves, through intelligent self-adaptive mechanisms, represents a central goal in metaheuristic research. The book covers various aspects of these mechanisms, including the self-adaptation of parameters and the development of search strategies. Additionally, the concept of hyperheuristics is introduced, which utilizes a metaheuristic layer to optimize the search through the selective application of different lower-level heuristics. The content is of interest to both professionals and students dealing with combinatorial and continuous optimization problems.