Handbook of Research on Soft Computing and Nature-Inspired Algorithms

Handbook of Research on Soft Computing and Nature-Inspired Algorithms

Shishir K. Shandilya (Bansal Institute of Research and Technology, India), Smita Shandilya (Sagar Institute of Research Technology and Science, India), Kusum Deep (Indian Institute of Technology Roorkee, India) and Atulya K. Nagar (Liverpool Hope University, UK)
Release Date: March, 2017|Copyright: © 2017 |Pages: 627
ISBN13: 9781522521280|ISBN10: 1522521283|EISBN13: 9781522521297|DOI: 10.4018/978-1-5225-2128-0

Description

Soft computing and nature-inspired computing both play a significant role in developing a better understanding to machine learning. When studied together, they can offer new perspectives on the learning process of machines.

The Handbook of Research on Soft Computing and Nature-Inspired Algorithms is an essential source for the latest scholarly research on applications of nature-inspired computing and soft computational systems. Featuring comprehensive coverage on a range of topics and perspectives such as swarm intelligence, speech recognition, and electromagnetic problem solving, this publication is ideally designed for students, researchers, scholars, professionals, and practitioners seeking current research on the advanced workings of intelligence in computing systems.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Electromagnetic Problem Solving
  • Evolutionary computation
  • Fuzzy logic
  • Machine learning
  • Neural Computing
  • Speech Recognition
  • Swarm intelligence

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Dr. Shishir K. Shandilya, Ph.D. (Computer Engineering) and M.Tech (CSE), is an excellent academician and active researcher with proven record of teaching and research. He is a Senior Member of Institute of Electrical and Electronics Engineers (IEEE), USA and was also elected as an executive member of IEEE Industry-Outreach Committee-India. He has received an International Certificate for Teaching and Training from Cambridge University, United Kingdom. Dr. Shandilya has received “Young Scientist Award” for consecutive two years (2005 & 2006) by Indian Science Congress & MP Council of Science & Technology for Computer Engineering. He has written five books of international-fame and published over 50 quality research papers in journals & conferences. He has received over 200 international citations on his research papers (Google Scholar). He is actively steering the international conferences and international journals. He is an active member of over 20 international professional bodies. He has achieved excellent results in all the subjects he taught. He is also an excellent programmer and credited various software projects in his account. He is also giving consultancy in IT as Sr. Consultant. He has recently delivered an expert lecture on ‘Opinion Mining’ at Oxford-United Kingdom
Smita Shandilya (Senior Member-IEEE) is an eminent scholar and energetic researcher with excellent teaching and research skills. She achieved excellent result in all the subjects she has taught till date. She has over 20 quality research papers in international & national journals & conferences 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 one of the core members of the research and development section of her Institute. She is also involved in various projects like the establishment of Energy Lab in the Institute (first in any Private Institute in M.P.), Establishment of Training cum Incubator centre in Collaboration with iEnergy.
Kusum Deep is a Professor, with the Department of Mathematics, Indian Institute of Technology Roorkee, India. Born on August 15, 1958, she pursued B.Sc Hons and M.Sc Hons. School from Centre for Advanced Studies, Panjab University, Chandigarh. A M.Phil Gold Medalist, she earned her PhD from IIT Roorkee in 1988. She was awarded UGC National Merit Scholarship and UGC National Education Test Scholarship. She carried out research at Loughborough University, UK during 1993-94, under an International Post Doctorate Bursary funded by Commission of European Communities, Brussels. She was awarded the Khosla Research Award in 1991; UGC Career Award in 2002; Starred Performer of IIT – Roorkee Faculty continuously from 2001 to 2005; best technical paper, Railway Bulletin of Indian Railways for 2005; special facilitation in memory of late Prof. M. C. Puri during 40th Convention of Operations Research Society of India held at New Delhi in 2007. She has nearly 60 research publications in refereed International Journals and more than 52 research papers in International / National Conferences. She is on the editorial board of a number of International and National Journals. She is a Senior Member of Operations Research Society of India, IEEE, Computer Society of India, Indian Mathematical Society and Indian Society of Industrial Mathematics. She is on the Expert Panel of the Department of Science and Technology, Govt. of India. Recently she has been nominated as a member of the Seneta of IIT Roorkee. Dr. Deep is having International Collaboration with Liverpool Hope University, Liverpool, UK and Machine Intelligence Research Labs, USA. Her areas of specialization are numerical optimization and their applications to engineering, science and industry. Currently she is working on Evolutionary Computations, particularly, Genetic Algorithms, Memetic Algorithms, Particle Swarm Optimization and their applications to solve real life problems. She has co-authored a book entitled Optimization Techniques by New Age Publishers New Delhi in 2009 with an International edition by New Age Science, UK. She successfully organized (as convener) an International Conference on Soft Computing for Problem Solving, held at IIT Roorkee campus during December 20-22, 2011. She is the General Chair of two forthcoming Conferences: Second International Conference on Soft Computing for Problem Solving Dec 28-30, 2012, Jaipur, India and 7th Her research interests include Numerical Optimization, Evolutionary Algorithms, Genetic Algorithms, Particle Swarm Optimization, etc.
Atulya K. Nagar is the Foundation Professor of Computer and Mathematical Sciences at Liverpool Hope University and is Head of Department of Computer Science. A mathematician by training, Prof. Nagar brings multi-disciplinary expertise in computational science, bioinformatics, operations research and systems engineering to the Faculty of Business & Computer Sciences. He received a prestigious Commonwealth Fellowship for pursuing his Doctorate in applied non-linear mathematics, which he received from the University of York in 1996. Prof. Nagar is an internationally recognised scholar working at the cutting edge of theoretical computer science, applied mathematical analysis, operations research, and industrial systems engineering. The centre of his research expertise lies in his IDS group, which pursues strategic and applied research into advancing applications of engineering, computational and biological systems. The research of the group seeks to contribute to the general body of knowledge and to influence IT practice in systems modelling and planning, scheduling, optimisation, and informatics. One such innovative theme is DNA sequence analysis using sophisticated computational techniques. The work of the group is highly theoretical, and primarily benefits the scientific community, with demonstrable potential for practical applications and relevance to society as a whole. Prof. Nagar has published a substantial number of research papers in reputed outlets such as the IEE and IEEE publications. He has co-edited a volume on Intelligent Systems area and serves on editorial boards for a number of prestigious journals including the International Journal of Artificial Intelligence and Soft Computing, and the Journal of Universal Computer Science. Prof. Nagar was a Conference Chair for the European Modelling Symposium (EMS 2008); currently he is a Conference and TPC Chair for the Developments in E-Systems Engineering (DeSE'09) Conference (www.dese.org.uk); and he serves on International Programme Committees (IPC) for several international conferences. He has been an expert reviewer for the Biotechnology and Biological Sciences Research Council (BBSRC) grants peer-review committee for Bioinformatics Panel and has been selected to serve on the prestigious Peer-Review College of the Arts and Humanities Research Council (AHRC) as a Scientific/Technical expert member. He is a member of numerous professional organisations including the IEE; a fellow of the Higher Education Academy (FHEA); he is a member of the Council of Professors and Heads of Computing (CPHC); and has been listed in the invaluable reference Marquis’ Who’s Who in Science and Engineering. Prof. Nagar supervises PhD research projects in Computer Science and serves on PhD external examiner panels. He holds a Visiting Professorship at the University of Madras; and Adjunct Professorship at the Mathematics department at the Indian Institute of Technology (IIT), Roorkee. He is a member of the Board of Studies at Stella Maris College, India; external examiner for MSc Computer Science programme at Staffordshire University. His teaching expertise is in Applied Analysis, Systems Engineering and Computational Biology. Prof. Nagar earned his PhD in Applied Nonlinear Mathematics from the University of York (UK) in 1996. He holds BSc (Hons.), MSc and MPhil (with distinction) degrees, in Mathematical Sciences, from the MDS University of Ajmer, India. Prior to joining Liverpool Hope University, Prof. Nagar has worked for several years as a Senior Research Scientist, on various EPSRC sponsored research projects, in the department of Mathematical Sciences, and later in the department of Systems Engineering, at Brunel University. In the work at Brunel he has contributed to the development of new techniques based on mathematical control systems theory for modelling and analysis of uncertainty in complex decision making systems.

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