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Role of nature-inspired algorithms in real-life problems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Role of nature-inspired algorithms in real-life problemsedited by Vanita Garg, Kusum Deep.
其他作者:	Garg, Vanita.
出版者:	Singapore :Springer Nature Singapore :2025.
面頁冊數:	xi, 142 p. :ill. (chiefly col., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Nature-inspired algorithms.
電子資源:	https://doi.org/10.1007/978-981-97-4715-3
ISBN:	9789819747153$q(electronic bk.)

Role of nature-inspired algorithms in real-life problems
Role of nature-inspired algorithms in real-life problems[electronic resource] /edited by Vanita Garg, Kusum Deep. - Singapore :Springer Nature Singapore :2025. - xi, 142 p. :ill. (chiefly col., digital ;24 cm. - Engineering optimization: methods and applications,2731-4057. - Engineering optimization: methods and applications..

Chapter 1:Mathematical Foundations and analysis of nature -- Chapter 2:inspired algorithms -- Chapter 3:Application of Grey Wolf Algorithm in portfolio optimization -- Chapter 4:Prediction using Nature-inspired algorithms -- Chapter 5:Fault diagnosis using nature -- Chapter 5:inspired algorithms -- Chapter 6:Early Detection of Alzheimer's disease using nature-inspired algorithms -- Chapter 7: A Framework for Self-Tuning Algorithms -- Chapter 8:Dealing With Constraints for solving real-life problems -- Chapter 9:Multi-objective optimization problems using stochastic algorithms -- Chapter 10: Data Mining and Deep Learning using nature-inspired algorithms.

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.

ISBN: 9789819747153$q(electronic bk.)

Standard No.: 10.1007/978-981-97-4715-3doiSubjects--Topical Terms:

858794
Nature-inspired algorithms.

LC Class. No.: QA76.9.N37

Dewey Class. No.: 006.382

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