IT401
Course Name:
Soft Computing (IT402)
Programme:
B.Tech (IT)
Category:
Programme Specific Electives (PSE)
Credits (L-T-P):
(3-0-2) 4
Content:
Optimization and Some Traditional Methods and issues, Introduction to Genetic Algorithms, Some Specialized Genetic Algorithms, Introduction to Fuzzy Sets, Fuzzy Reasoning and Clustering, Fundamentals of Neural Networks, Fundamentals biologically inspired computing, Hybrid soft computing methods, Swarm optimization techniques: Particle swarm optimization and Global swarm optimization, Applications and Recent Research Trends.
References:
Vojislav Kecman, Learning and Soft Computing , Pearson Education ( Asia ) PTE, 2004
Ross T.J., Fuzzy logic with engineering applications-McGraw Hill, 1995.
J. M. Zurada, Introduction to artificial neural networks, Jaico publishing, 1997.
Goldberg D., Genetic algorithms- Addison-Wesley, 1st edition,1989.
S. N. Sivanandam, S. N. Deepa, Principles of Soft Computing 2nd edition, Wiley, 2011.
Shishir K. Shandilya, Smita Shandilya, Kusum Deep, Atulya K. Nagar, Handbook of Research on Soft Computing and Nature-Inspired Algorithms, IGI Global, 2017.
Evolutionary Algorithm for Solving Multi-objective, Optimization Problems (2nd Edition), Collelo, Lament, Veldhnizer ( Springer)
J. Han and M. Kambar, Data Mining: Concepts and Techniques, Morgan Kaufmann Publishers Elsevier), 2008
Department:
Information Technology