Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms (Advances in Computational Intelligence and Robotics)

"This book provides the reader with a broad coverage of the concepts, themes and instrumentalities of this important and evolving area of optimization. In doing so, the editors hope to encourage an even wider adoption of metaheuristic methods for assisting in problem solving, and to stimulate research that may lead to additional innovations in metaheuristic procedures"--

Sujata Dash received her Ph.D. degree in Computational Modelling from Berhampur University, Orissa, India in 1995. She is an Associate Professor in P.G. Department of Computer Science & Application, North Orissa University, at Baripada, India. She has published more than 80 technical papers in international journals, conferences and book chapters of reputed publications. She has guided many scholars for their Ph.D degrees in computer science. She is associated with many professional bodies like the CSI, the ISTE, the OITS, the OMS, the IACSIT, the IMS and the IAENG. She is on the editorial board of several international journals and also a reviewer of many international journals. Her current research interests include Machine Learning, Distributed Data Mining, Bioinformatics, Intelligent Agent, Web Data Mining, Image Processing and Cloud Computing.

B. K. Tripathy a Senior Professor in the School of Computing Sciences and Engineering, VIT University, at Vellore, India. He has published more than 190 technical papers in various international journals, conferences, and book chapters and has guided 14 scholars for their Ph.D degrees in both mathematics and computer science. He is associated with many professional bodies like IEEE, ACEEE, ACM, IRSS, AISTC, ISTP, CSI, AMS, and IMS. He is in the editorial board of several international journals like CTA, ITTA, AMMS, IJCTE, AISS, AIT, and IJPS and is a reviewer of over 40 international journals like Mathematical Reviews, Information Sciences, Analysis of Neural Networks, Journal of Knowledge Engineering, Mathematical Communications, IEEE Transactions on Fuzzy Systems and Journal of Analysis. His research interest includes fuzzy sets and systems, rough sets and knowledge engineering, data clustering, soft computing, granular computing, theory of multisets, list theory, content based learning, remote laboratories and social networks.