9780367751562-0367751569-Hybrid Quantum Metaheuristics: Theory and Applications (Quantum Machine Intelligence)

Hybrid Quantum Metaheuristics: Theory and Applications (Quantum Machine Intelligence)

ISBN-13: 9780367751562
ISBN-10: 0367751569
Edition: 1
Author: Siddhartha Bhattacharyya, Mario Köppen, Elizabeth Behrman, Ivan Cruz-Aceves
Publication date: 2022
Publisher: CRC Press
Format: Hardcover 276 pages
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Book details

ISBN-13: 9780367751562
ISBN-10: 0367751569
Edition: 1
Author: Siddhartha Bhattacharyya, Mario Köppen, Elizabeth Behrman, Ivan Cruz-Aceves
Publication date: 2022
Publisher: CRC Press
Format: Hardcover 276 pages

Summary

Hybrid Quantum Metaheuristics: Theory and Applications (Quantum Machine Intelligence) (ISBN-13: 9780367751562 and ISBN-10: 0367751569), written by authors Siddhartha Bhattacharyya, Mario Köppen, Elizabeth Behrman, Ivan Cruz-Aceves, was published by CRC Press in 2022. With an overall rating of 3.9 stars, it's a notable title among other books. You can easily purchase or rent Hybrid Quantum Metaheuristics: Theory and Applications (Quantum Machine Intelligence) (Hardcover) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

The reference text introduces the principles of quantum mechanics to evolve hybrid metaheuristics-based optimization techniques useful for real world engineering and scientific problems.

The text covers advances and trends in methodological approaches, theoretical studies, mathematical and applied techniques related to hybrid quantum metaheuristics and their applications to engineering problems. The book will be accompanied by additional resources including video demonstration for each chapter. It will be a useful text for graduate students and professional in the field of electrical engineering, electronics and communications engineering, and computer science engineering, this text:

  • Discusses quantum mechanical principles in detail.
  • Emphasizes the recent and upcoming hybrid quantum metaheuristics in a comprehensive manner.
  • Provides comparative statistical test analysis with conventional hybrid metaheuristics.
  • Highlights real-life case studies, applications, and video demonstrations.

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