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Record Nr. |
UNINA9910984581503321 |
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Autore |
Garg Vanita |
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Titolo |
Role of Nature-Inspired Algorithms in Real-life Problems / / edited by Vanita Garg, Kusum Deep |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (171 pages) |
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Collana |
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Engineering Optimization: Methods and Applications, , 2731-4057 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Robotics |
Computational Intelligence |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 |
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