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

By: Elizabeth Behrman (Edited by) , Ivan Cruz-Aceves (Edited by) , Mario Koppen (Edited by) , Siddhartha Bhattacharyya (Edited by)

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Ksh 11,650.00

Format: Paperback or Softback

ISBN-10: 1032254610

ISBN-13: 9781032254616

Collection / Series: Quantum Machine Intelligence

Collection Type: Publisher collection

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Oct 8th, 2024

Publication Status: Active

Product extent: 280 Pages

Weight: 440.00 grams

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The text discusses several hybrid quantum metaheuristics to efficiently analyses diverse engineering problems. It will be an ideal reference text for graduate students and professional in the field of electrical engineering, electronics and communications engineering, and computer science engineering.

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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