Proceedings of Sixth International Conference on Soft Computing for Problem Solving: SocProS 2016, Volume 1

by Kusum Deep (Editor), Jagdish Chand Bansal (Editor), Kedar Nath Das (Editor), Arvind Kumar Lal (Editor), Harish Garg (Editor)

Overview

This two-volume book gathers the proceedings of the Sixth International Conference on Soft Computing for Problem Solving (SocProS 2016), offering a collection of research papers presented during the conference at Thapar University, Patiala, India. Providing a veritable treasure trove for scientists and researchers working in the field of soft computing, it highlights the latest developments in the broad area of “Computational Intelligence” and explores both theoretical and practical aspects using fuzzy logic, artificial neural networks, evolutionary algorithms, swarm intelligence, soft computing, computational intelligence, etc.

Product Details

ISBN-13:	9789811033216
Publisher:	Springer Nature Singapore
Publication date:	05/05/2017
Series:	Advances in Intelligent Systems and Computing , #546
Edition description:	1st ed. 2017
Pages:	362
Product dimensions:	6.10(w) x 9.25(h) x (d)

About the Author

Prof. Kusum Deep is a Professor at the Department of Mathematics, Indian Institute of Technology Roorkee, India. Over the past 25 years, her research has made her a central international figure in the area of Nature Inspired Optimization Techniques, Genetic Algorithms and Particle Swarm Optimization.

Dr. Jagdish Chand Bansal is an Assistant Professor with South Asian University, New Delhi, India. Holding an excellent academic record, he is an outstanding researcher in the field of Swarm Intelligence at the national and international level, having written several research papers in journals of national and international repute.

Dr. Kedar Nath Das is an Assistant Professor at the Department of Mathematics, National Institute of Technology, Silchar, Assam, India. Over the past 10 years, he has made substantial contributions to research on ‘soft computing’. He has published several research papers in prominent national and international journals. His chief area of interest is in evolutionary and bio-inspired algorithms for optimization.

Dr. Arvind Kumar Lal is currently associated with the School of Mathematics and Computer Applications at Thapar University, Patiala. He received his BSc. Honors (mathematics) and MSc. (mathematics) from Bihar University, Muzaffarpur in 1984 and 1987, respectively. He completed his PhD (mathematics) at the University of Roorkee (now the IIT, Roorkee) in 1995. Dr. Lal has over 130 publications in journals and conference proceedings to his credit. His research areas include applied mathematics (modeling of stellar structure and pulsations), reliability analysis and numerical analysis.

Dr. Harish Garg is an Assistant Professor at the School of Mathematics at Thapar University, Patiala, Punjab, India. He received his BSc. (computer applications) and MSc. (Mathematics) from Punjabi University, Patiala before completing his PhD (applied mathematics) at the Indian Institute of Technology Roorkee. He is currently teaching undergraduate and postgraduate students and is pursuing innovative and insightful research in the area of reliability theory using evolutionary algorithms and fuzzy set theory with their application in numerous industrial engineering areas. Dr. Garg has produced 62 publications, which include 6 book chapters, 50 journal papers and 6 conference papers.

Prof. Atulya Nagar holds the Foundation Chair as Professor of Mathematical Sciences and is Dean of the Faculty of Science at Liverpool Hope University, UK. Prof. Nagar is an internationally respected scholar working at the cutting edge of theoretical computer science, applied mathematical analysis, operations research, and systems engineering.

Dr. Millie Pant is an Associate Professor at the Department of Paper Technology, Indian Institute of Technology Roorkee, India. She has published several research papers in national and international journals and is a prominent figure in the field of Swarm Intelligence and Evolutionary Algorithms.

Table of Contents

Adaptive Scale Factor based Differential Evolution Algorithm.- Adaptive Balance Factor in Particle Swarm Optimization.- Community detection in complex networks: a novel approach based on ant lion optimizer.- Hybrid SOMA: A Tool for Optimizing TMD Parameters.- Fast Convergent Spider Monkey Optimization Algorithm.- Bi-level problem and SMD Assessment Delinquent for Single Impartial Bi-level Optimization.- An Adaptive Firefly Algorithm for Load Balancing in Cloud Computing.- Review on Inertia Weight Strategies for Particle Swarm Optimization.- Hybridized Gravitational Search Algorithms with Real Coded Genetic Algorithms for Integer and Mixed Integer Optimization Problems.- Spider Monkey Optimization Algorithm based on Metropolis principle.- An Analysis of modeling and optimization production cost through fuzzy linear programming problem with symmetric and right angle Triangular fuzzy number.- A New Intuitionistic Fuzzy Entropy of Order-
With Applications in Multiple Attribute Decision Making.- The relationship between intuitionistic fuzzy programming and goal programming.- Implementation of Fuzzy Logic on FORTRAN Coded Free Convection around Vertical Tube.- Availability analysis of the Butter Oil Processing Plant using intuitionistic fuzzy differential equations.