Overview
- Exhaustive coverage on nature-inspired computing and applications
- Provides a comprehensive, critical and descriptive examination of all facets of nature-inspired algorithms and naturally-intelligent machines
- Focuses on the current research while highlighting the empirical results along with theoretical concept
Part of the book series: EAI/Springer Innovations in Communication and Computing (EAISICC)
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Table of contents (14 chapters)
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Front Matter
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Back Matter
Keywords
- Nature-inspired computing
- Bio-inspired computing
- Intelligent algorithms
- Biologically Inspired Computing
- Nature-inspired algorithms
- Seed Based Plant Propagation Algorithm
- Optics Inspired Optimization (OIO)
- Vortex Search Algorithm
- Naturally intelligent machines
- Water Wave Optimization
- Chemical Reaction Algorithm
- complexity
About this book
This book contains research contributions from leading global scholars in nature-inspired computing. It includes comprehensive coverage of each respective topic, while also highlighting recent and future trends. The contributions provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application. This book has focus on the current researches while highlighting the empirical results along with theoretical concepts to provide a comprehensive reference for students, researchers, scholars, professionals and practitioners in the field of Advanced Artificial Intelligence, Nature-Inspired Algorithms and Soft Computing.
Editors and Affiliations
About the editors
Dr. Shishir K. Shandilya is a renowned academician and active researcher with proven record of teaching and research. He is Cambridge University Certified Professional Teacher and Trainer, Senior Member of IEEE-USA and also elected as an executive member of IEEE Industry-Outreach Committee-India. Dr. Shandilya has received “IDA Teaching Excellence Award” for distinctive use of Technology in Teaching by Indian Didactics Association, Bangalore (2016) and “Young Scientist Award” for consecutive two years (2005 & 2006) by Indian Science Congress & MP Council of Science & Technology. He has written seven books of international-fame (published in USA, Denmark and India) and published over 50 quality research papers. He is an active member of various international professional bodies.
Smita Shandilya (Senior Member-IEEE) is an eminent scholar and researcher. She has over 20 quality research papers to her credits. She has delivered several invited talks in national seminars of high repute. Her research interests are Power System Planning and Smart Micro Grids. She is also involved in the establishment of Energy Lab in the Institute (first in any Private Institute in M.P.), and Establishment of Training cum Incubator centre in Collaboration with iEnergy Pvt. Ltd.
Atulya K. Nagar holds the Foundation Chair as Professor of Mathematical Sciences and is Dean of the Faculty of Science at Liverpool Hope University, UK; he has been the Head of Department of Mathematics and Computer Science which he established at the University. Professor Nagar is an internationally respected scholar working at the cutting edge of theoretical computer science, applied mathematical analysis, operations research, and systems engineering. He received a prestigious Commonwealth Fellowship for pursuing his doctorate (DPhil) in Applied Non-Linear Mathematics, which he earned from the University of York (UK) in 1996; and he holds BSc (Hons.),MSc, and MPhil (with Distinction) in Mathematical Physics from the MDS University of Ajmer, India. Professor Nagar’s research expertise spans both Applied Mathematics and Computational Methods for nonlinear, complex and intractable problems arising in Science, Engineering, and Industry. In problems like these the effect is known, but the cause is not. In this approach of mathematics, also known as ‘Inverse Problems’, sophisticated mathematical modelling and computational algorithms are required to understand such behaviour.
Bibliographic Information
Book Title: Advances in Nature-Inspired Computing and Applications
Editors: Shishir Kumar Shandilya, Smita Shandilya, Atulya K. Nagar
Series Title: EAI/Springer Innovations in Communication and Computing
DOI: https://doi.org/10.1007/978-3-319-96451-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2019
Hardcover ISBN: 978-3-319-96450-8Published: 06 September 2018
Softcover ISBN: 978-3-030-07195-0Published: 25 January 2019
eBook ISBN: 978-3-319-96451-5Published: 29 August 2018
Series ISSN: 2522-8595
Series E-ISSN: 2522-8609
Edition Number: 1
Number of Pages: XVI, 349
Number of Illustrations: 28 b/w illustrations, 109 illustrations in colour
Topics: Communications Engineering, Networks, Computational Intelligence, Artificial Intelligence, Complexity, Bioinformatics