Name: New Metaheuristic Schemes: Mechanisms and Applications
Price: 156.71 EUR
Availability: InStock
Author: Daniel Zaldivar;Marco Perez-Cisneros;Erik Cuevas
ISBN: 9783031455636

portada New Metaheuristic Schemes: Mechanisms and Applications

New Metaheuristic Schemes: Mechanisms and Applications

Type

Physical Book

Publisher

Springer International Publishing AG

Author

Daniel Zaldivar;Marco Perez-Cisneros;Erik Cuevas

Collection

Intelligent Systems Reference Library

Year

2024

Pages

268

Format

Paperback

Dimensions

23.50 x 15.50 cm

ISBN13

9783031455636

New Metaheuristic Schemes: Mechanisms and Applications

Daniel Zaldivar;Marco Perez-Cisneros;Erik Cuevas (Author) · Springer International Publishing AG · Paperback

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Synopsis "New Metaheuristic Schemes: Mechanisms and Applications"

Recently, novel metaheuristic techniques have emerged in response to the limitations of conventional approaches, leading to enhanced outcomes. Similarly, engineering practitioners unfamiliar with metaheuristic computation concepts will recognize the pragmatic value of the discussed techniques.

Recently, novel metaheuristic techniques have emerged in response to the limitations of conventional approaches, leading to enhanced outcomes. These new methods introduce interesting mechanisms and innovative collaborative strategies that facilitate the efficient exploration and exploitation of extensive search spaces characterized by numerous dimensions. The objective of this book is to present advancements that discuss novel alternative metaheuristic developments that have demonstrated their effectiveness in tackling various complex problems. This book encompasses a variety of emerging metaheuristic methods and their practical applications. The content is presented from a teaching perspective, making it particularly suitable for undergraduate and postgraduate students in fields such as science, electrical engineering, and computational mathematics. The book aligns well with courses in artificial intelligence, electrical engineering, and evolutionary computation. Furthermore, the material offers valuable insights to researchers within the metaheuristic and engineering communities. Similarly, engineering practitioners unfamiliar with metaheuristic computation concepts will recognize the pragmatic value of the discussed techniques. These methods transcend mere theoretical tools that have been adapted to effectively address the significant real-world problems commonly encountered in engineering domains.