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