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      Hybrid Quantum Metaheuristics

      Theory and Applications

      AvSiddhartha Bhattacharyya,Mario Köppen

      Häftad, Engelska, 2024

      Del i serien Quantum Machine Intelligence

      733 kr

      Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

      Beskrivning

      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.

      Produktinformation

      • Utgivningsdatum:2024-10-08
      • Mått:156 x 234 x 15 mm
      • Vikt:440 g
      • Format:Häftad
      • Språk:Engelska
      • Serie:Quantum Machine Intelligence
      • Antal sidor:280
      • Förlag:Taylor & Francis Ltd
      • ISBN:9781032254616

      Utforska kategorier

      • Tillverkningsteknik inom Naturvetenskap och teknik

      Mer om författaren

      Siddhartha Bhattacharyya is currently working as a professor, department of computer science and engineering, CHRIST University Bangalore, India. His current research interest includes soft computing, pattern recognition, image processing, multimedia information retrieval, quantum-inspired soft computing, portfolio optimization and social networks. He is life fellow of Optical Society of India, Fellow of Institute for Engineering Research and Publication (IFERP) India, Institution of Electronics and Telecommunication Engineers (IETE) India, a senior member of Institute of Electrical and Electronics Engineers (IEEE) the USA and member of Institution of Engineering and Technology (IET) the UK. He has published several research papers in journals of national and international repute. Mario Köppen is presently working as a professor, graduate school of creative informatics, Kyushu Institute of Technology, Japan. He worked as a scientific assistant at the Central Institute for Cybernetics and Information Processing in Berlin and from 1992 to 2006, he was working with the Fraunhofer Institute for Production Systems and Design Technology, Germany. He has published more than 150 peer-reviewed papers in conference proceedings, journals and books and was active in the organization of various conferences as a chair or member of the program committee, including the WSC online conference series on Soft Computing in Industrial Applications, and the HIS conference series on Hybrid Intelligent Systems. He is a founding member of the World Federation of Soft Computing, and Associate Editor of the Applied Soft Computing journal. His current research interest includes image processing and pattern recognition, neural networks, evolutionary computation, fuzzy fusion, mathematical morphology, algorithm design and complexity, multi-objective and relational optimization, and digital content management.Elizabeth C. Behrman is currently working as a professor of physics and mathematics, Wichita State University, USA. She received masters and Ph.D. degrees from the University of Illinois at Urbana-Champaign, the USA in 1981 and 1985 respectively. Her research interests and publications are broad, ranging from chemical kinetics and reaction pathways to ceramic superconductors to nuclear waste vitrification. She was the first to predict the stability of inorganic Buckyball’s and buckytubes, and among the first to design and computationally test models for quantum neural networks. Her major focus interest includes theoretical quantum computing, quantum information, and quantum control, particularly quantum machine learning and quantum AI. She has taught courses including quantum mechanics, classical mechanics, solid-state physics, electricity and magnetism, computational physics, and theoretical physics. She has published several research papers in journals of national and international repute.Ivan Cruz Aceves is presently working as a researcher, Centre for Research in Mathematics (CIMAT), Mexico. He did his Ph.D. in electrical engineering from Universidad de Guanajuato, Mexico in 2014. His current research interest includes segmentation techniques and stochastic optimization methods for medical image processing and analysis. He has published research papers in the journal of national and international repute."

      Innehållsförteckning

      • PrefaceDedicationChapter 1An Introductory Illustration to Quantum Inspired Meta-heuristicsSourav De, Cooch Behar Government Engineering College, Cooch Behar, IndiaSandip Dey, Sukanta Mahavidyalaya, Jalpaiguri, IndiaChapter 2A Quantum-Inspired Approach to Collective Combine of Basic Classifiers in an Ensemble BaggingSergey Gorbachev, National Research Tomsk State University, RussiaMaxim Bobyr, Southwest State University, Russia Nadezhda Gorbacheva, National Research Tomsk State University, RussiaSiddhartha. Bhattacharyya, Rajnagar Mahavidyalaya, Birbhum, IndiaSandip Dey, Sukanta Mahavidyalaya, Jalpaiguri, IndiaDebanjan Konar, Sikkim Manipal Institute of Technology, Sikkim, IndiaChapter 3Function Optimization using IBM QSoumyajit Goswami, IBM India Pvt. Ltd., IndiaChapter 4Multipartite Adaptive Quantum-inspired Evolutionary Algorithm for Reduction in Power Losses of a Radial Distribution NetworkG. Manikanta, Amity University Noida, IndiaAshish Mani, Amity University Noida, IndiaH. P. Singh, Amity University Noida, IndiaD. K. Chaturvedi, Dayalbagh Educational Institute (Deemed University), Agra, IndiaAmlan Chatterjee, California State University, USAChapter 5Quantum Inspired Manta Ray Foraging Optimization Algorithm for Automatic Clustering of Colour ImagesAlokananda Dey, RCC Institute of Information Technology, IndiaSiddhartha Bhattacharyya, Rajnagar Mahavidyalaya, Birbhum, IndiaSandip Dey, Sukanta Mahavidyalaya, Jalpaiguri, IndiaJan Platos, VSB Technical University of Ostrava, Czech RepublicVaclav Snasel, VSB Technical University of Ostrava, Czech RepublicChapter 6Automatic Feature Selection for Coronary Stenosis Detection in X-Ray angiograms using Quantum Genetic AlgorithmsMiguel-Angel Gil-Rios, Universidad Tecnol´ogica de Le´on. Blvd., MexicoMaria-Dolores Juarez-Ramirez, Universidad Tecnol´ogica de Le´on. Blvd., MexicoLaura-Paulina Badillo-Canchola, Universidad Tecnol´ogica de Le´on. Blvd., MexicoMar´ıa-del-Carmen Ruiz-Robledo, Universidad Tecnol´ogica de Le´on. Blvd., MexicoMartha Alicia Hernandez-Gonzalez, Unidad M´edica de Alta Especialidad (UMAE) - Hospital de, MexicoSergio Eduardo Solorio-Meza, Universidad Tecnol´ogica de M´exico, MexicoChapter 7Quantum Preprocessing for DCNN in Atherosclerosis DetectionEmmanuel Ovalle-Magallanes, University of Guanajuato, MexicoDora Elisa Alvarado-Carrillo, Center for Research in Mathematics (CIMAT), A.C. , MexicoJuan Gabriel Avina-Cervantes, Juan Gabriel Avina-Cervantes, University of Guanajuato, MexicoChapter 8Multilevel Quantum Elephant Herd Algorithm for Automatic Clustering of Hyperspectral ImagesTulika Dutta, Assam University, Silchar, IndiaSiddhartha Bhattacharyya, Rajnagar Mahavidyalaya, Birbhum, IndiaSomnath Mukhopadhyay, Assam University, Silchar, IndiaChapter 9Towards Quantum-inspired SSA for Solving Multiobjective Optimization ProblemsSanjai Pathak, Amity University Noida, IndiaAshish Mani, Amity University Noida, IndiaMayank Sharma, Amity University Noida, IndiaAmlan Chatterjee, California State University, USAChapter 10Quantum Inspired Multi-Objective NSGA-II Algorithm for Automatic Clustering of Gray Scale ImagesAlokananda Dey, RCC Institute of Information Technology, IndiaSiddhartha Bhattacharyya, Rajnagar Mahavidyalaya, Birbhum, IndiaSandip Dey, Sukanta Mahavidyalaya, Jalpaiguri, IndiaJan Platos, VSB Technical University of Ostrava, Czech RepublicVaclav Snasel, VSB Technical University of Ostrava, Czech RepublicChapter 11ConclusionSiddhartha Bhattacharyya, Rajnagar Mahavidyalaya, Birbhum, India
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