Modules / Lectures
Module NameDownload


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 OptimizationPDF unavailable
11Lec 11: Implementation of Particle Swarm Optimization using MATLABPDF unavailable
12Lec 12: Differential EvolutionPDF unavailable
13Lec 13: Implementation of Differential Evolution using MATLABPDF unavailable
14Lec 14 : Binary Coded Genetic AlgorithmPDF unavailable
15Lec 15 : Real Coded Genetic AlgorithmPDF unavailable
16Lec 16 : Implementation of Real Coded Genetic Algorithm using MATLABPDF unavailable
17Lec 17 : Artificial Bee Colony AlgorithmPDF unavailable
18Lec 18 : Working of Artificial Bee Colony AlgorithmPDF unavailable
19Lec 19 : Implementation of Artificial Bee Colony using MATLABPDF unavailable
20Lec 20 : Comparison of Variation Operators and Survival StrategiesPDF unavailable
21Lec 21 : Black-Box Optimization ProblemsPDF unavailable
22Lec 22 : Constraint-Handling in Metaheuristic TechniquesPDF unavailable
23Lec 23: Case Study: Production planning PDF unavailable
24Lec 24: Case Study: Production planning MATLAB ImplementationPDF unavailable
25Lec 25: Parallelization and Vectorization of Fitness FunctionPDF unavailable
26Lec 26: Constraint-Handling using Correction Approach PDF unavailable
27Lec 27: MATLAB inbuilt functions: Linear & Mixed Integer Linear ProgrammingPDF unavailable
28Lec 28: MATLAB inbuilt functions: Nonlinear & Mixed Integer Nonlinear ProgrammingPDF unavailable
29Lec 29: MATLAB Optimization Tool: Options, Output Function, Vectorization, ParallelizationPDF unavailable
30Lec 30: MATLAB inbuilt functions: Multi-objective OptimizationPDF unavailable
31Lec 31: Simplex Method for LP PDF unavailable
32Lec 32: Branch & Bound Method for MILPPDF unavailable
33Lec 33: MILP formulation of Production Planning ProblemPDF unavailable
34Lec 34: Generalized Algebraic Modelling SystemPDF unavailable
35Lec 35: Solution of Production Planning Problem using GAMS & NEOS, MIROPDF unavailable


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