Sl.No | Chapter Name | MP4 Download |
---|---|---|
1 | Lec 1 : Introduction to Optimization | Download |
2 | Lec 2 : Introduction to Evolutionary Computation | Download |
3 | Lec 3 : Binary-Coded Genetic Algorithm (BGA) | Download |
4 | Lec 4 : Operators and Simulations of Binary-Coded Genetic Algorithm | Download |
5 | Lec 5 : Real-Coded Genetic Algorithm (RGA) | Download |
6 | Lec 6 : Operators and Simulations of Real-Coded Genetic Algorithm | Download |
7 | Lec 7 : Algorithmic Implementation of BGA and RGA | Download |
8 | Lec 8 : Particle Swarm Optimization (PSO) | Download |
9 | Lec 9 : Simulations and Algorithmic Implementation of Particle Swarm Optimization | Download |
10 | Lec 10 : Differential Evolution (DE) | Download |
11 | Lec 11 : Simulations and Algorithmic Implementation of Differential Evolution | Download |
12 | Lec 12 : Constrained Optimization: Introduction and Optimality | Download |
13 | Lec 13 : Penalty Function Methods for Evolutionary Computing Techniques | Download |
14 | Lec 14 : Evolutionary Computing Techniques: Separation of Objective Function and Constraints | Download |
15 | Lec 15 : Simulations of Constraint Handling Techniques: Part 1 | Download |
16 | Lec 16 : Simulations of Constraint Handling Techniques: Part 2 | Download |
17 | Lec 17 : Introduction to Multi-Objective Optimization: Part 1 | Download |
18 | Lec 18 : Introduction to Multi-Objective Optimization: Part 2 | Download |
19 | Lec 19 : Multi-Objective Optimization: Ranking and Diversity | Download |
20 | Lec 20 : Classical Multi-Objective Optimization Methods | Download |
21 | Lec 21 : Non-Dominated Genetic Algorithm: NSGA-II: Introduction | Download |
22 | Lec 22 : Non-Dominated Genetic Algorithm: NSGA-II: Simulations | Download |
23 | Lec 23 : Strength Pareto Evolutionary Algorithm: SPEA2: Introduction | Download |
24 | Lec 24 : Strength Pareto Evolutionary Algorithm: SPEA2: Simulations | Download |
25 | Lec 25 : Performance Assessment of Multi-Objective EC Techniques | Download |
26 | Lec 26 : Closure of EC for Single and Multi-Objective Optimization | Download |
Sl.No | Chapter Name | English |
---|---|---|
1 | Lec 1 : Introduction to Optimization | Download Verified |
2 | Lec 2 : Introduction to Evolutionary Computation | Download Verified |
3 | Lec 3 : Binary-Coded Genetic Algorithm (BGA) | Download Verified |
4 | Lec 4 : Operators and Simulations of Binary-Coded Genetic Algorithm | Download Verified |
5 | Lec 5 : Real-Coded Genetic Algorithm (RGA) | Download Verified |
6 | Lec 6 : Operators and Simulations of Real-Coded Genetic Algorithm | Download Verified |
7 | Lec 7 : Algorithmic Implementation of BGA and RGA | Download Verified |
8 | Lec 8 : Particle Swarm Optimization (PSO) | Download Verified |
9 | Lec 9 : Simulations and Algorithmic Implementation of Particle Swarm Optimization | Download Verified |
10 | Lec 10 : Differential Evolution (DE) | Download Verified |
11 | Lec 11 : Simulations and Algorithmic Implementation of Differential Evolution | Download Verified |
12 | Lec 12 : Constrained Optimization: Introduction and Optimality | Download Verified |
13 | Lec 13 : Penalty Function Methods for Evolutionary Computing Techniques | Download Verified |
14 | Lec 14 : Evolutionary Computing Techniques: Separation of Objective Function and Constraints | Download Verified |
15 | Lec 15 : Simulations of Constraint Handling Techniques: Part 1 | Download Verified |
16 | Lec 16 : Simulations of Constraint Handling Techniques: Part 2 | Download Verified |
17 | Lec 17 : Introduction to Multi-Objective Optimization: Part 1 | Download Verified |
18 | Lec 18 : Introduction to Multi-Objective Optimization: Part 2 | Download Verified |
19 | Lec 19 : Multi-Objective Optimization: Ranking and Diversity | Download Verified |
20 | Lec 20 : Classical Multi-Objective Optimization Methods | Download Verified |
21 | Lec 21 : Non-Dominated Genetic Algorithm: NSGA-II: Introduction | Download Verified |
22 | Lec 22 : Non-Dominated Genetic Algorithm: NSGA-II: Simulations | Download Verified |
23 | Lec 23 : Strength Pareto Evolutionary Algorithm: SPEA2: Introduction | Download Verified |
24 | Lec 24 : Strength Pareto Evolutionary Algorithm: SPEA2: Simulations | Download Verified |
25 | Lec 25 : Performance Assessment of Multi-Objective EC Techniques | Download Verified |
26 | Lec 26 : Closure of EC for Single and Multi-Objective Optimization | Download Verified |
Sl.No | Language | Book link |
---|---|---|
1 | English | Download |
2 | Bengali | Not Available |
3 | Gujarati | Not Available |
4 | Hindi | Not Available |
5 | Kannada | Not Available |
6 | Malayalam | Not Available |
7 | Marathi | Not Available |
8 | Tamil | Not Available |
9 | Telugu | Not Available |