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Quantum-inspired Evolutionary Algorithm for Scaling Factor Optimization During Manifold Medical Information Embedding by Samanta, S. is a scholarly article available to read on EtoBox.

What is Quantum-inspired Evolutionary Algorithm for Scaling Factor Optimization During Manifold Medical Information Embedding about?

Quantum Inspired Computational Intelligence: Research and Applications explores the latest quantum computational intelligence approaches, initiatives, and applications in computing, engineering, science, and business. The book explores this emerging field of research that applies principles of quantum mechanics to develop more efficient and robust intelligent systems. Conventional computational intelligence—or soft computing—is conjoined with quantum computing to achieve this objective. The models covered can be applied to any endeavor which handles complex and meaningful information. Brings together quantum computing with computational intelligence to achieve enhanced performance and robust solutions Includes numerous case studies, tools, and technologies to apply the concepts to real world practice Provides the missing link between the research and practice

Author

Samanta, S.

Publisher

Elsevier Science & Technology Books

Published

2017

Language

EN

ISBN

9780128044377