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

1. Auflage 2025
ISBN: 978-981-97-4715-3
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 142 Seiten, eBook

Reihe: Engineering Optimization: Methods and 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.

Zielgruppe

Research

Autoren/Hrsg.

Garg, Vanita

Deep, Kusum

Inhaltsverzeichnis

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.

Über Autor(innen)

Dr. Vanita Garg is working as an Assistant Professor in Mathematics at Amity University. Her research interests are nature-inspired algorithms, optimization, Soft Computing, and Reliability. She received her Master’s degree (M.SC.) in 2011 from Punjabi University Patiala and Ph.D. from Indian Institute of Technology Roorkee in 2017. She has received the Lady Kaula Award for securing her first position in college. She has published more than 20 research papers in journal papers, book chapters, and conference papers. She has published edited books in Springer, John, and Wiley. She is active in current research and has teaching experience of 8 years. Dr. Kusum Deep, is a full Professor, with the Department of Mathematics, Indian Institute of Technology Roorkee, India, and a Visiting Professor, at Liverpool Hope University, UK, and University of Technology Sydney, Australia. With B.Sc Hons & M.Sc Hons. School from Centre for Advanced Studies, Panjab University, Chandigarh, she is an M.Phil Gold Medalist. She earned her PhD from UOR (now IIT Roorkee) in 1988. She has been a national scholarship holder and a Post Doctoral from Loughborough University, UK assisted by an International Bursary funded by the Commission of European Communities, Brussels. She has won numerous awards including the Khosla Research Award, UGC Career Award, Starred Performer of IITR Faculty, Best Paper awards by Railway Bulletin of Indian Railways, special facilitation in memory of the late Prof. M. C. Puri, AIAP Excellence Award. She has authored two books, supervised 20 Ph. D.s, and published 125 research papers. She is a Senior Member of ORSI, CSI, IMS, and ISIM. She is the Executive Editor of the International Journal of Swarm Intelligence, Inderscience. She is Associate Editor of Swarm and Evolutionary Algorithms, Elsevier, and is on the editorial board of many journals. She is the Founder and President of the Soft Computing Research Society in India. She is the General Chair of a series of International Conferences on Soft Computing for Problems Solving (SocProS). Her research interests are Evolutionary Algorithms, Swarm Intelligence, and nature-inspired optimization techniques and their applications.