Name: Multilevel Quantum Metaheuristics. Applications in Data Exploration
SKU: 65599760
Price: 6451.00 TWD
Availability: InStock
Author: Balamurugan Balusamy;Siddhartha Bhattacharyya;Leo, PhD Mrsic;Jan Platos;Hiranmoy, PhD Roy
ISBN: 9780443331367

portada Multilevel Quantum Metaheuristics. Applications in Data Exploration

Multilevel Quantum Metaheuristics. Applications in Data Exploration

Type

Physical Book

Publisher

Academic Press Inc

Author

Balamurugan Balusamy;Siddhartha Bhattacharyya;Leo, PhD Mrsic;Jan Platos;Hiranmoy, PhD Roy

Collection

Hybrid Computational Intelligence for Pattern Analysis and Understanding

Year

2026

Pages

476

Format

Paperback

Dimensions

22.9x15.2 cm

ISBN13

9780443331367

Multilevel Quantum Metaheuristics. Applications in Data Exploration

Balamurugan Balusamy;Siddhartha Bhattacharyya;Leo, Phd Mrsic;Jan Platos;Hiranmoy, Phd Roy (Author) · Academic Press Inc · Paperback

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Synopsis "Multilevel Quantum Metaheuristics. Applications in Data Exploration"

Multilevel Quantum Metaheuristics: Applications in Data Exploration explores the most recent advances in hybrid quantum-inspired algorithms. Combining principles of quantum mechanics with metaheuristic techniques for efficient data optimization, this book examines multilevel quantum systems characterized by qudits and higher-level quantum states as more robust alternatives to conventional bilevel quantum approaches. It introduces novel multilevel applications of quantum metaheuristics for addressing optimization problems in areas including function optimization, data analysis, scheduling, and signal processing. The book also showcases real-world examples, case studies, and contributions that emphasize the effectiveness of proposed multilevel techniques over existing bilevel methods. Researchers, professionals, and engineers working on intelligent computing, quantum computing, data processing, clustering, and analysis, and those interested in the synergies between quantum computing, metaheuristics, and multilevel quantum systems for enhanced data exploration and analysis will find this book to be of great value.