Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011

Dr. Kusum Deep, is an Associate Professor, with the Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India. Over the last 25 years, her research is increasingly well-cited making her a central International figure in the area of Nature Inspired Optimization Techniques, Genetic Algorithms and Particle Swarm Optimization. Prof. Atulya Nagar holds the Foundation Chair of Computer and Mathematical Sciences and Heads the Department of Computer Science, at Liverpool Hope University, Liverpool, UK.  Prof. Nagar is an internationally recognised scholar working at the cutting edge of theoretical computer science, applied mathematical analysis, operations research, and systems engineering and his work is underpinned by strong complexity-theoretic foundations Dr. Millie Pant, is an Assistant Professor with the Department of Paper Technology, Indian Institute of Technology, Roorkee, India. At this age, she has earned a remarkable International reputation in the area of Genetic Algorithms, Differential Algorithms and Swarm Intelligence. Dr. Jagdish Chand Bansal, is an Assistant Professor with the ABV-Indian Institute of Information Technology and Management, Gwalior, India. Holding an excellent academic record, he is a budding researcher in the field of Swarm Intelligence at the International Level.

From the Contents: Biogeography and Plate Tectonics based Optimization for Water Body Extraction in Satellite Images.- Analysis and Pattern Deduction on Linguistic, Numeric based Mean And Fuzzy Association Rule Algorithm on any Geo-referenced Crime Point Data integrated with Google Map.- Efficient Detection and Counting of Moving Vehicles with Region-Level Analysis of Video Frames .- Multi- Agent Self-Organizing Scheme For Chemical Patent Data-mining.- A Map Legend Understanding System.- Determining Most Visited Locations Based on Temporal Grouping of GPS Data.- Femtocells and their Integration with IMS.- Efficient Medical Image Retrieval for Telemedical Applications.