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
36Lec 36: IBM ILOG CPLEX Optimization StudioDownload
37Lec 37: Constraint Programming Applications in IBM ILOG CPLEX Optimization StudioDownload

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
36Lec 36: IBM ILOG CPLEX Optimization StudioPDF unavailable
37Lec 37: Constraint Programming Applications in IBM ILOG CPLEX Optimization StudioPDF unavailable


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