Lecture 1 - Introduction to soft computing
Lecture 2 - Introduction to Fuzzy Logic
Lecture 3 - Fuzzy membership functions (Continued...) and Defining Membership functions
Lecture 4 - Fuzzy operations
Lecture 5 - Fuzzy relations
Lecture 6 - Fuzzy Relations (Continued...) and Fuzzy propositions
Lecture 7 - Fuzzy implications
Lecture 8 - Fuzzy Inferences
Lecture 9 - Defuzzification techniques (Part-I)
Lecture 10 - Defuzzification Techniques (Part-I) (Continued...)
Lecture 11 - Fuzzy logic controller
Lecture 12 - Fuzzy Logic Controller (Continued...)
Lecture 13 - Fuzzy logic controller (Continued...)
Lecture 14 - Concept of Genetic Algorithm
Lecture 15 - Concept of Genetic Algorithm (Continued...) and GA Strategies
Lecture 16 - GA Operator : Encoding schemes
Lecture 17 - GA operator : encoding scheme (Continued...)
Lecture 18 - GA Operator : Selection
Lecture 19 - GA Operator : Selection (Continued...)
Lecture 20 - GA Operator : Crossover techniques
Lecture 21 - GA Operator : Crossover (Continued...)
Lecture 22 - GA Operator : Crossover (Continued...)
Lecture 23 - GA Operator : Mutation and others
Lecture 24 - Multi-objective optimization problem solving
Lecture 25 - Multi-objective optimization problem solving (Continued...)
Lecture 26 - Concept of domination
Lecture 27 - Non-Pareto based approaches to solve MOOPs
Lecture 28 - Non-Pareto based approaches to solve MOOPs (Continued...)
Lecture 29 - Pareto-Based approaches to solve MOOPs
Lecture 30 - Pareto-based approaches to solve MOOPs (Continued....)
Lecture 31 - Pareto-based approach to solve MOOPs
Lecture 32 - Pareto-based approach to solve MOOPs (Continued...)
Lecture 33 - Pareto-based approach to solve MOOPs (Continued...)
Lecture 34 - Introduction to Artificial Neural Network
Lecture 35 - ANN Architectures
Lecture 36 - Training ANNs
Lecture 37 - Training ANNs (Continued....)
Lecture 38 - Training ANNs (Continued....)
Lecture 39 - Training ANNs (Continued....)
Lecture 40 - Soft computing tools
