Mostly all engineering colleges have the subject Soft Computing (SC) for the course B. E. /B. Tech. and M. E. /M. Tech. (Computer Science & Engineering), Master of Computer Application (MCA) etc. This book "Soft Computing (Neural Networks, Fuzzy Logic and Genetic Algorithms)" will be useful for the engineering graduates and postgraduates students pursuing Computer Science & Engineering/Computer Application etc. The book covers majority syllabus of different universities. The book is written using modem approach. This book contains concise definitions, diagrams and examples which will give the easy way to make learn the students and other academician. Salient Features Important definitions are highlighted Includes real-world examples to illustrate the concepts Includes the separate chapter on hybrid systems Numerous illustrations, examples, and end chapter exercises has been provided Includes new topics such as self systems organization, ant colony optimization, cognitive science etc. About the Author Sushi! Kumar Singh , currently working as an Assistant Professor in Computer Science and Engineering department in Skyline Institute of Engineering & Technology, Gr. Noida, G. B. Nagar, (U. P.), India. He was a Lecturer with department of Computer Science and Engineering, Lumbini Engineering College, Nepal, till 2004. He was a Sr. Lecturer with department of Computer Science and Engineering, Shobhit Institute of Engineering & Technology, Saharanpur, (UP), India till 2008. His research interests include Artificial Intelligence, Soft Computing and Digital Image Processing. He completed his M. Tech. in Computer Science and Engineering from NRI Institute of Information science and Technology, Bhopal, (M.P.), India. He is a member of IEEE, Associate member of Computer Society of India (CSI), Mumbai and Active member of NGO Annanya Adarsh Shiksha Vikas Samiti (AASVS), Bhopal, (M. P.), India. He has also presented and published research papers i