Soft Computing for Problem Solving

A Multiscale Retinex with Colour Restoration (MSR-CR) Technique For Skin Cancer Detection.- Efficient License Plate Recognition System with Smarter Interpretation Through IoT.- Image Captioning Based Image Search Engine: An Alternative to Retrieval by Metadata.- Demand Side Management of a Commercial Customer Based on ABC Algorithm.- Trapezoidal Intuitionistic Fuzzy Fractional Transportation Problem.- How Delay Can Affect the Survival of Species in Polluted Environment.- Local Invariant Features Based Gender Recognition from Facial Images.- Enhancing Saliency of a Target Object Through Color Modification of Every Object Using Genetic Algorithm.

Dr. Jagdish Chand Bansal is an Assistant Professor at the South Asian University, New Delhi, India and visiting research fellow at Liverpool Hope University, Liverpool UK. He has an excellent academic record and is a leading researcher in the field of swarm intelligence and has published numerous research papers in respected international and national journals.

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.

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.

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. Akshay Kumar Ojha is Associate Professor at the School of Basic Sciences, Indian Institute of Technology, Bhubaneswar, Odisha, India. He completed his B.Sc., M.Sc., and Ph.D. at Utkal University in 1978, 1980, and 1997, respectively. His research interest areas are geometric programming, artificial neural networks, genetic algorithms, particle swarm optimization, fractional programming, nonlinear optimization, data analysis and optimization, and portfolio optimization. Dr.