Handbook of research on advancements of swarm intelligence algorithms for solving real-world problems

Author(s)

Bibliographic Information

Handbook of research on advancements of swarm intelligence algorithms for solving real-world problems

Shi Cheng, Yuhui Shi

(Advances in computational intelligence and robotics (ACIR) book series)

IGI Global, c2020

  • : hardcover

Available at  / 2 libraries

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Note

Includes bibliographical references and index

Description and Table of Contents

Description

The use of optimization algorithms has seen an emergence in various professional fields due to its ability to process data and information in an efficient and productive manner. Combining computational intelligence with these algorithms has created a trending subject of research on how much more beneficial intelligent-inspired algorithms can be within companies and organizations. As modern theories and applications are continually being developed in this area, professionals are in need of current research on how intelligent algorithms are advancing in the real world. The Handbook of Research on Advancements of Swarm Intelligence Algorithms for Solving Real-World Problems is a pivotal reference source that provides vital research on the development of swarm intelligence algorithms and their implementation into current issues. While highlighting topics such as multi-agent systems, bio-inspired computing, and evolutionary programming, this publication explores various concepts and theories of swarm intelligence and outlines future directions of development. This book is ideally designed for IT specialists, researchers, academicians, engineers, developers, practitioners, and students seeking current research on the real-world applications of intelligent algorithms.

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Details

  • NCID
    BD03493544
  • ISBN
    • 9781799832225
  • LCCN
    2019049633
  • Country Code
    us
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    Hershey, Pa.
  • Pages/Volumes
    xxii, 482 p.
  • Size
    29 cm
  • Classification
  • Subject Headings
  • Parent Bibliography ID
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