Modules / Lectures
Module NameDownload
noc21_me43_assignment_Week_1noc21_me43_assignment_Week_1
noc21_me43_assignment_Week_2noc21_me43_assignment_Week_2
noc21_me43_assignment_Week_3noc21_me43_assignment_Week_3
noc21_me43_assignment_Week_4noc21_me43_assignment_Week_4
noc21_me43_assignment_Week_5noc21_me43_assignment_Week_5
noc21_me43_assignment_Week_6noc21_me43_assignment_Week_6
noc21_me43_assignment_Week_7noc21_me43_assignment_Week_7
noc21_me43_assignment_Week_8noc21_me43_assignment_Week_8


Sl.No Chapter Name MP4 Download
1Lec 1 : Introduction to OptimizationDownload
2Lec 2 : Introduction to Evolutionary ComputationDownload
3Lec 3 : Binary-Coded Genetic Algorithm (BGA)Download
4Lec 4 : Operators and Simulations of Binary-Coded Genetic AlgorithmDownload
5Lec 5 : Real-Coded Genetic Algorithm (RGA)Download
6Lec 6 : Operators and Simulations of Real-Coded Genetic AlgorithmDownload
7Lec 7 : Algorithmic Implementation of BGA and RGADownload
8Lec 8 : Particle Swarm Optimization (PSO)Download
9Lec 9 : Simulations and Algorithmic Implementation of Particle Swarm OptimizationDownload
10Lec 10 : Differential Evolution (DE)Download
11Lec 11 : Simulations and Algorithmic Implementation of Differential EvolutionDownload
12Lec 12 : Constrained Optimization: Introduction and OptimalityDownload
13Lec 13 : Penalty Function Methods for Evolutionary Computing TechniquesDownload
14Lec 14 : Evolutionary Computing Techniques: Separation of Objective Function and ConstraintsDownload
15Lec 15 : Simulations of Constraint Handling Techniques: Part 1Download
16Lec 16 : Simulations of Constraint Handling Techniques: Part 2Download
17Lec 17 : Introduction to Multi-Objective Optimization: Part 1Download
18Lec 18 : Introduction to Multi-Objective Optimization: Part 2Download
19Lec 19 : Multi-Objective Optimization: Ranking and DiversityDownload
20Lec 20 : Classical Multi-Objective Optimization MethodsDownload
21Lec 21 : Non-Dominated Genetic Algorithm: NSGA-II: IntroductionDownload
22Lec 22 : Non-Dominated Genetic Algorithm: NSGA-II: SimulationsDownload
23Lec 23 : Strength Pareto Evolutionary Algorithm: SPEA2: IntroductionDownload
24Lec 24 : Strength Pareto Evolutionary Algorithm: SPEA2: SimulationsDownload
25Lec 25 : Performance Assessment of Multi-Objective EC TechniquesDownload
26Lec 26 : Closure of EC for Single and Multi-Objective OptimizationDownload

Sl.No Chapter Name English
1Lec 1 : Introduction to OptimizationDownload
Verified
2Lec 2 : Introduction to Evolutionary ComputationDownload
Verified
3Lec 3 : Binary-Coded Genetic Algorithm (BGA)Download
Verified
4Lec 4 : Operators and Simulations of Binary-Coded Genetic AlgorithmDownload
Verified
5Lec 5 : Real-Coded Genetic Algorithm (RGA)Download
Verified
6Lec 6 : Operators and Simulations of Real-Coded Genetic AlgorithmDownload
Verified
7Lec 7 : Algorithmic Implementation of BGA and RGADownload
Verified
8Lec 8 : Particle Swarm Optimization (PSO)Download
Verified
9Lec 9 : Simulations and Algorithmic Implementation of Particle Swarm OptimizationDownload
Verified
10Lec 10 : Differential Evolution (DE)Download
Verified
11Lec 11 : Simulations and Algorithmic Implementation of Differential EvolutionDownload
Verified
12Lec 12 : Constrained Optimization: Introduction and OptimalityDownload
Verified
13Lec 13 : Penalty Function Methods for Evolutionary Computing TechniquesDownload
Verified
14Lec 14 : Evolutionary Computing Techniques: Separation of Objective Function and ConstraintsDownload
Verified
15Lec 15 : Simulations of Constraint Handling Techniques: Part 1Download
Verified
16Lec 16 : Simulations of Constraint Handling Techniques: Part 2Download
Verified
17Lec 17 : Introduction to Multi-Objective Optimization: Part 1Download
Verified
18Lec 18 : Introduction to Multi-Objective Optimization: Part 2Download
Verified
19Lec 19 : Multi-Objective Optimization: Ranking and DiversityDownload
Verified
20Lec 20 : Classical Multi-Objective Optimization MethodsDownload
Verified
21Lec 21 : Non-Dominated Genetic Algorithm: NSGA-II: IntroductionDownload
Verified
22Lec 22 : Non-Dominated Genetic Algorithm: NSGA-II: SimulationsDownload
Verified
23Lec 23 : Strength Pareto Evolutionary Algorithm: SPEA2: IntroductionDownload
Verified
24Lec 24 : Strength Pareto Evolutionary Algorithm: SPEA2: SimulationsDownload
Verified
25Lec 25 : Performance Assessment of Multi-Objective EC TechniquesDownload
Verified
26Lec 26 : Closure of EC for Single and Multi-Objective OptimizationDownload
Verified


Sl.No Language Book link
1EnglishNot Available
2BengaliNot Available
3GujaratiNot Available
4HindiNot Available
5KannadaNot Available
6MalayalamNot Available
7MarathiNot Available
8TamilNot Available
9TeluguNot Available