Overview
- Includes novel and newly proposed optimization algorithms
- Presents numerically established results of nature-inspired optimization algorithms
- Features real-world applications of optimization algorithms
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 741)
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About this book
The book covers different aspects of real-world applications of optimization algorithms. It provides insights from the Fourth International Conference on Harmony Search, Soft Computing and Applications held at BML Munjal University, Gurgaon, India on February 7–9, 2018. It consists of research articles on novel and newly proposed optimization algorithms; the theoretical study of nature-inspired optimization algorithms; numerically established results of nature-inspired optimization algorithms; and real-world applications of optimization algorithms and synthetic benchmarking of optimization algorithms.
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Keywords
Table of contents (113 papers)
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Front Matter
Editors and Affiliations
About the editors
Dr. Neha Yadav is a research professor at the Department of Civil, Environmental and Architectural Engineering at Korea University, South Korea. She received her Ph.D. from Motilal Nehru National Institute of Technology, Allahabad, India, M.Sc. in Mathematical Sciences from Banasthali University, Jaipur and B.Sc. in Mathematics from Dr. R.M.L. Awadh University, Faizabad in 2013, 2009 and 2007, respectively. Her research interests are real-time flood forecasting, mathematical modeling, numerical analysis, soft computing techniques, differential equations, boundary value problems, mathematical modeling, and optimization. Dr. Yadav has published several journal papers and 1 book.
Dr. Anupam Yadav is an assistant professor of Mathematics at the National Institute of Technology Uttarakhand. His research areas are numerical optimization, high-order graph matching, and operations research. He received his Ph.D. from the Indian Institute of Technology Roorkee, India and M.Sc. inMathematics from Banaras Hindu University, Varanasi, India. He has published 1 book, 1 book chapter and several journal and conference papers, and has given a number of invited talks.
Dr. Jagdish Chand Bansal is an assistant professor at the South Asian University, New Delhi, India. He is leading researcher in the field of swarm intelligence and has published several research papers in respected national and international repute journals.
Prof. Kusum Deep is a full-time professor at the Department of Mathematics, Indian Institute of Technology Roorkee, India. Over the last 25 years, her much-cited research is increasingly has made her a leading international figure in the area of nature-inspired optimization techniques, genetic algorithms and particle swarm optimization.
Prof. Joong Hoon Kim is associated with the School of Civil, Environmental and Architectural Engineering, Korea University, South Korea. His major areas of interest includeoptimal design and management of water distribution systems, application of optimization techniques to various engineering problems, and development and application of evolutionary algorithms. He has published 216 Journal publications, 262 conference proceedings, and several books/book chapters, including “A New Heuristic Optimization Algorithm: Harmony Search”, Simulation, February 2001, Vol. 76, pp 60–68, which has been cited over 2,500 times by other journals in diverse research areas.
Bibliographic Information
Book Title: Harmony Search and Nature Inspired Optimization Algorithms
Book Subtitle: Theory and Applications, ICHSA 2018
Editors: Neha Yadav, Anupam Yadav, Jagdish Chand Bansal, Kusum Deep, Joong Hoon Kim
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-981-13-0761-4
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2019
Softcover ISBN: 978-981-13-0760-7Published: 24 August 2018
eBook ISBN: 978-981-13-0761-4Published: 23 August 2018
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XXII, 1238
Number of Illustrations: 145 b/w illustrations, 265 illustrations in colour
Topics: Computational Intelligence, Image Processing and Computer Vision, Data Mining and Knowledge Discovery