Syllabus Soft Computing (CS723PE) UNIT - I Introduction to Soft Computing : Evolutionary Computing, "Soft" computing versus "Hard" computing, Soft Computing Methods, Recent Trends in Soft Computing, Characteristics of Soft computing, Applications of Soft Computing Techniques. (Chapter - 1) UNIT - II Fuzzy Systems : Fuzzy Sets, Fuzzy Relations, Fuzzy Logic, Fuzzy Rule - Based Systems (Chapter - 2) UNIT - III Fuzzy Decision Making, Particle Swarm Optimization (Chapter - 3) UNIT - IV Genetic Algorithms : Basic Concepts, Basic Operators for Genetic Algorithms, Crossover and Mutation Properties, Genetic Algorithm Cycle, Fitness Function, Applications of Genetic Algorithm. (Chapter - 4) UNIT - V Rough Sets, Rule Induction and Discernibility Matrix, Integration of Soft Computing Techniques. (Chapter - 5)
