Course

Unit 1

Artificial Intelligence: A Brief review, Pitfalls of Traditional AI. Search Algorithms: breadth first search, depth first search techniques, Hill Climbing, Best first Search, A* algorithm and AO* Algorithms. Soft computing: Introduction, soft computing vs. hard computing, various types of soft computing techniques, applications of soft computing.

Unit 2

Fuzzy Logic: Introduction the case of imprecision, the utility and limitation of fuzzy systems. Classical sets and Fuzzy sets: operations, properties and mapping. Classical relations and fuzzy relations: cardinality, operations, properties and composition tolerance and equivalence relations. Properties of membership function, fuzzification and defuzzification. Logic and fuzzy systems.

Unit 3

Evolutionary Computation: Introduction, Historical Development of Evolutionary Computation, Features of Evolutionary Computation, Advantages and Applications of Evolutionary Computation, Conventional Optimization and Search Techniques.

Unit 4

Genetic Algorithms: Introduction, Biological Background, A simple genetic algorithm, Comparison of Genetic Algorithm with Other Optimization Techniques, Advantages, Limitations and Applications of Genetic Algorithm. Terminologies and Operators of GA: Encoding, Breeding, Search Termination, Fitness Scaling, Example problems.

Unit 5

Swarm intelligence algorithms Over view of Hybrid approaches (neural networks, fuzzy logics, genetic algorithm etc).

Text Books / References

Text Books:

1. Ross T J ‘Fuzzy Logic with Engineering Applications’, TMH, 2002.
2. S.N.Sivanandam and S.N.Deepa, Introduction to Genetic Algorithms, Springer Berlin, Heidelberg, 2007.
3. Kumar S. ‘Neural Networks – A classroom approach’, TMH, 20014.
4. Eiben A E and Smith J E, ‘Introduction to Evolutionary Computing’, Second Edition, Springer, Natural Computing Series, 20017.

Reference Books:

1. Konar A, ‘Computational Intelligence: Principles, Techniques and Applications”, Springer Verlag, 2005.
2. Engelbercht AP, ‘Fundamentals of Computational Swarm Intelligence’, John Wiley and Sons, 2005.
3. Jang J S R and Sun C T,Mizutani E, ‘Neuron – Fuzzy and Soft Computing’ , PHI, 2002
4. Rajasjekaran S and VijayalakshmiPai G A ‘Neural Networks, Fuzzy Logic and Genetic Algorithm’, PHI, 2003.

CO-PO Mapping