Garg Role of Nature-Inspired Algorithms in Real-life Problems

Role of Nature-Inspired Algorithms in Real-life Problems

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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.


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.


Describes nature inspired algorithms for solving real life problems in various fields manufacturing, AI, finance, etc Presents recent contributions and significant development, advanced issues, and challenges Explains the algorithms used, selected problems, and the implementation

Autor*in

Vanita Garg

Themen in »Role of Nature-Inspired Algorithms in Real-life Problems«

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

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Details

ISBN: 9789819747153
Verlag: Springer Singapore
Erscheinung: 04.03.2025

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