Text Book
Jang, J.-S. R., Sun, C.-T. and Mizutani, E. Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence. Prentice Hall, 1997.
Sivanandam, S. N. and Deepa, S. N. Principles of Soft Computing. 3rd Edition, Wiley, 2018.
Ross, T. J. Fuzzy Logic with Engineering Applications. 4th Edition, Wiley, 2016.
Mitchell, M. An Introduction to Genetic Algorithms. MIT Press, 1998.
Illustrated Handbook of Soft Computing. BIBLIOTEX Digital Library, 2021. ISBN 978-1-98465-107-5.
Syllabus
| Week | Date | Covered Topics | Comments |
|---|---|---|---|
| 1 | 8/9 | Introduction to Soft Computing; Introduction to Fuzzy logic | Lecture 1 |
| 2 | 15/9 | Fuzzy membership functions; Operations on Fuzzy sets | |
| 3 | 22/9 | Fuzzy relations; Fuzzy propositions | |
| 4 | 29/9 | Fuzzy implications; Fuzzy inferences | |
| 5 | 6/10 | Defuzzification Techniques-I; Defuzzification Techniques-II | |
| 6 | 13/10 | Fuzzy logic controller-I; Fuzzy logic controller-II | |
| 7 | 20/10 | Midterm Exam | Weeks 1–6 — fuzzy systems |
| 8 | 27/10 | Solving optimization problems; Concept of GA | |
| 9 | 3/11 | GA Operators: Encoding; GA Operators: Selection-I; GA Operators: Selection-II | |
| 10 | 10/11 | GA Operators: Crossover-I; GA Operators: Crossover-II; GA Operators: Mutation | |
| 11 | 17/11 | Ant Colony Optimization-I; Ant Colony Optimization-II | |
| 12 | 24/11 | MOEA Approaches: Non-Pareto; MOEA Approaches: Pareto-I; MOEA Approaches: Pareto-II | |
| 13 | 1/12 | Introduction to ANN; ANN Architecture; ANN Training-I | |
| 14 | 8/12 | ANN Training-II; ANN Training-III; Applications of ANN |