Overview
- Presents current research on various applications of machine learning
- Discusses optimization techniques to solve real problems
- Serves as a reference resource for researchers and practitioners in academia and industry
Part of the book series: Algorithms for Intelligent Systems (AIS)
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Table of contents (12 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Editors and Affiliations
About the editors
Anand J. Kulkarni holds a Ph.D. in Distributed Optimization from Nanyang Technological University, Singapore; an M.S. in AI from the University of Regina, Canada; and Bachelor of Engineering from Shivaji University, India. He worked as a Research Fellow on a cross-border supply-chain disruption project at Odette School of Business, University of Windsor, Canada. Currently, he is the Head and an Associate Professor at the Symbiosis Institute of Technology, Pune, India. His research interests include optimization algorithms, multiobjective optimization, multiagent systems, complex systems, swarm optimization, game theory, and self-organizing systems. He is the founder and Chairman of the OAT Research Lab. Anand has published over 40 research papers in peer-reviewed journals and conferences as well as two books.
Suresh Chandra Satapathy is a Professor at the School of Computer Engineering, KIIT, Odisha, India. Previously, he was a Professor and the Head of the Department of CSE at ANITS, AP, India. He received his Ph.D. in CSE from JNTU, Hyderabad, and M.Tech. in CSE from the NIT, Odisha. He has more than 27 years of teaching and research experience. His research interests include machine learning, data mining, swarm intelligence and applications. He has published more than 98 papers in respected journals and conferences and has edited numerous volumes for Springer AISC and LNCS. In addition to serving on the editorial board of several journals, he is a senior member of the IEEE and a life member of the Computer Society of India, where he is the National Chairman of Division-V (Education and Research).
Bibliographic Information
Book Title: Optimization in Machine Learning and Applications
Editors: Anand J. Kulkarni, Suresh Chandra Satapathy
Series Title: Algorithms for Intelligent Systems
DOI: https://doi.org/10.1007/978-981-15-0994-0
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-15-0993-3Published: 10 December 2019
Softcover ISBN: 978-981-15-0996-4Published: 10 December 2020
eBook ISBN: 978-981-15-0994-0Published: 29 November 2019
Series ISSN: 2524-7565
Series E-ISSN: 2524-7573
Edition Number: 1
Number of Pages: IX, 197
Number of Illustrations: 32 b/w illustrations, 25 illustrations in colour
Topics: Computational Intelligence, Machine Learning, Optimization, Algorithm Analysis and Problem Complexity
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