Recent Metaheuristics Algorithms for Parameter Identification

Explore the cutting-edge world of optimization with "Recent Metaheuristics Algorithms for Parameter Identification" by Erik Cuevas. Published by Springer Nature Switzerland AG in 2019, this hardback edition spans 297 informative pages. This book delves into innovative metaheuristic developments that have demonstrated effectiveness in tackling a variety of complex problems.

Designed for researchers, lecturers, engineers, and practitioners alike, this text serves as an essential resource for those looking to address their optimization challenges. With its practical insights and comprehensive approach, this book stands as a crucial addition to any professional's library. Enhance your understanding and application of metaheuristic algorithms today with this authoritative work by Erik Cuevas.