Role of Nature-Inspired Algorithms in Real-life Problems

Vanita Garg (Hrsg.), Kusum Deep (Hrsg.)

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ca. 181,89

Springer Nature Singapore img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Allgemeines, Lexika

Beschreibung

The book includes nature-inspired optimization techniques and their applications. It offers recent trends in the field of nature-inspired algorithms for solving real-life problems in various fields related to manufacturing, artificial intelligence, finance, etc. Nature-inspired optimization techniques are not only useful but also needed for solving open-ended problems. Understanding nature-inspired techniques and their importance for solving real-life problems can open many directions for researchers and academicians. This book will be helpful in acquiring knowledge of nature-inspired optimization techniques in various fields of real-life applications.

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Schlagwörter

Mathematical Foundations of Nature Inspired Algorithms, Framework for Self-Tuning Algorithms, Prediction using Nature Inspired Algorithms, Fault Diagnosis, Constraints for Solving Real Life Problems, Deep Learning using Nature Inspire Algorithms