Anglais New Metaheuristic Schemes: Mechanisms and Applications

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About

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.


  • Authors

    Erik Cuevas, Daniel Zaldivar, Marco Perez-Cisneros

  • Publisher

    Springer

  • Distributeur

    Numilog

  • Publication date

    06/11/2023

  • EAN

    9783031455612

  • Availablity

    Available

  • Copy

    Authorized with restriction

  • Copy count

    1

  • Print

    Authorized with restriction

  • Print count

    1

  • Poids

    43 213 Ko

  • Diffuseur

    Numilog

  • Entrepôt

    Numilog

  • Support principal

    ebook (ePub)

  • Version ePub

Aucune information sur l'accessibilité n'est disponible

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