Modules / Lectures
Module NameDownload
noc20_ch19_assigment_1noc20_ch19_assigment_1
noc20_ch19_assigment_2noc20_ch19_assigment_2
noc20_ch19_assigment_3noc20_ch19_assigment_3
noc20_ch19_assigment_4noc20_ch19_assigment_4
noc20_ch19_assigment_5noc20_ch19_assigment_5
noc20_ch19_assigment_6noc20_ch19_assigment_6
noc20_ch19_assigment_7noc20_ch19_assigment_7
noc20_ch19_assigment_8noc20_ch19_assigment_8
noc20_ch19_assigment_9noc20_ch19_assigment_9


Sl.No Chapter Name MP4 Download
1Lec 1: Introduction to OptimizationDownload
2Lec 2 : Linear RegressionDownload
3Lec 3: Multiple, Polynomial and General Linear Least Square RegressionDownload
4Lec 4 : Nonlinear RegressionDownload
5Lec 5 : Regression : MATLAB Implementation Download
6Lec 6 : Teaching Learning Based OptimizationDownload
7Lec 7 : Implementation of TLBO in MATLABDownload
8Lec 8 : Supplementary: Preliminary Statistical analysis for metaheuristic techniquesDownload
9Lec 9 : Supplementary: Preliminary Statistical analysis - MATLAB implementationDownload
10Lec 10: Particle Swarm OptimizationDownload
11Lec 11: Implementation of Particle Swarm Optimization using MATLABDownload
12Lec 12: Differential EvolutionDownload
13Lec 13: Implementation of Differential Evolution using MATLABDownload
14Lec 14 : Binary Coded Genetic AlgorithmDownload
15Lec 15 : Real Coded Genetic AlgorithmDownload
16Lec 16 : Implementation of Real Coded Genetic Algorithm using MATLABDownload
17Lec 17 : Artificial Bee Colony AlgorithmDownload
18Lec 18 : Working of Artificial Bee Colony AlgorithmDownload
19Lec 19 : Implementation of Artificial Bee Colony using MATLABDownload
20Lec 20 : Comparison of Variation Operators and Survival StrategiesDownload
21Lec 21 : Black-Box Optimization ProblemsDownload
22Lec 22 : Constraint-Handling in Metaheuristic TechniquesDownload
23Lec 23: Case Study: Production planning Download
24Lec 24: Case Study: Production planning MATLAB ImplementationDownload
25Lec 25: Parallelization and Vectorization of Fitness FunctionDownload
26Lec 26: Constraint-Handling using Correction Approach Download
27Lec 27: MATLAB inbuilt functions: Linear & Mixed Integer Linear ProgrammingDownload
28Lec 28: MATLAB inbuilt functions: Nonlinear & Mixed Integer Nonlinear ProgrammingDownload
29Lec 29: MATLAB Optimization Tool: Options, Output Function, Vectorization, ParallelizationDownload
30Lec 30: MATLAB inbuilt functions: Multi-objective OptimizationDownload
31Lec 31: Simplex Method for LP Download
32Lec 32: Branch & Bound Method for MILPDownload
33Lec 33: MILP formulation of Production Planning ProblemDownload
34Lec 34: Generalized Algebraic Modelling SystemDownload
35Lec 35: Solution of Production Planning Problem using GAMS & NEOS, MIRODownload

Sl.No Chapter Name English
1Lec 1: Introduction to OptimizationDownload
To be verified
2Lec 2 : Linear RegressionDownload
To be verified
3Lec 3: Multiple, Polynomial and General Linear Least Square RegressionDownload
To be verified
4Lec 4 : Nonlinear RegressionDownload
To be verified
5Lec 5 : Regression : MATLAB Implementation Download
To be verified
6Lec 6 : Teaching Learning Based OptimizationDownload
To be verified
7Lec 7 : Implementation of TLBO in MATLABDownload
To be verified
8Lec 8 : Supplementary: Preliminary Statistical analysis for metaheuristic techniquesDownload
To be verified
9Lec 9 : Supplementary: Preliminary Statistical analysis - MATLAB implementationDownload
To be verified
10Lec 10: Particle Swarm OptimizationDownload
To be verified
11Lec 11: Implementation of Particle Swarm Optimization using MATLABDownload
To be verified
12Lec 12: Differential EvolutionDownload
To be verified
13Lec 13: Implementation of Differential Evolution using MATLABDownload
To be verified
14Lec 14 : Binary Coded Genetic AlgorithmDownload
To be verified
15Lec 15 : Real Coded Genetic AlgorithmDownload
To be verified
16Lec 16 : Implementation of Real Coded Genetic Algorithm using MATLABDownload
To be verified
17Lec 17 : Artificial Bee Colony AlgorithmDownload
To be verified
18Lec 18 : Working of Artificial Bee Colony AlgorithmDownload
To be verified
19Lec 19 : Implementation of Artificial Bee Colony using MATLABDownload
To be verified
20Lec 20 : Comparison of Variation Operators and Survival StrategiesDownload
To be verified
21Lec 21 : Black-Box Optimization ProblemsDownload
To be verified
22Lec 22 : Constraint-Handling in Metaheuristic TechniquesDownload
To be verified
23Lec 23: Case Study: Production planning Download
To be verified
24Lec 24: Case Study: Production planning MATLAB ImplementationDownload
To be verified
25Lec 25: Parallelization and Vectorization of Fitness FunctionDownload
To be verified
26Lec 26: Constraint-Handling using Correction Approach Download
To be verified
27Lec 27: MATLAB inbuilt functions: Linear & Mixed Integer Linear ProgrammingDownload
To be verified
28Lec 28: MATLAB inbuilt functions: Nonlinear & Mixed Integer Nonlinear ProgrammingDownload
To be verified
29Lec 29: MATLAB Optimization Tool: Options, Output Function, Vectorization, ParallelizationDownload
To be verified
30Lec 30: MATLAB inbuilt functions: Multi-objective OptimizationDownload
To be verified
31Lec 31: Simplex Method for LP Download
To be verified
32Lec 32: Branch & Bound Method for MILPDownload
To be verified
33Lec 33: MILP formulation of Production Planning ProblemDownload
To be verified
34Lec 34: Generalized Algebraic Modelling SystemDownload
To be verified
35Lec 35: Solution of Production Planning Problem using GAMS & NEOS, MIRODownload
To be verified


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