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Lec 3 Multiple Polynomial and General Linear Least Square Regression

Computer Aided Applied Single Objective Optimization Introduction Video

Lec 1 Introduction to Optimization

Lec 2 Linear Regression

Lec 3 Multiple Polynomial and General Linear Least Square Regression

Lec 4 Nonlinear Regression

Lec 5 Regression MATLAB Implementation

Lec 6 Teaching Learning Based Optimization

Lec 7 Implementation of TLBO in MATLAB

Lec 8 Preliminary Statistical analysis for metaheuristic techniques

Lec 9 Preliminary Statistical analysis MATLAB implementation

Lec 10 Particle Swarm Optimization

Lec 11 Implementation of Particle Swarm Optimization using MATLAB

Lec 12 Differential Evolution

Lec 13 Implementation of Differential Evolution using MATLAB

Lec 14 Binary Coded Genetic Algorithm

Lec 15 Real Coded Genetic Algorithm

Lec 16 Implementation of Real Coded Genetic Algorithm using MATLAB

Lec 17 Artificial Bee Colony Algorithm

Lec 18 Working of Artificial Bee Colony Algorithm

Lec 19 Implementation of Artificial Bee Colony using MATLAB

Lec 20 Comparison of Variation Operators and Survival Strategies

Lec 21 Black Box Optimization Problems

Lec 22 Constraint Handling in Metaheuristic Techniques

Lec 23 Case Study Production planning

Lec 24 Case Study Production planning MATLAB Implementation

Lec 25 Parallelization and Vectorization of Fitness Function

Lec 26 Constraint Handling using Correction Approach

Lec 27 MATLAB inbuilt functions Linear Mixed Integer Linear Programming

Lec 28 MATLAB inbuilt functions Nonlinear Mixed Integer Nonlinear Programming

Lec 29 MATLAB Optimization Tool Options Output Function Vectorization Parallelization

Lec 30 MATLAB inbuilt functions Multi objective Optimization

Lec 31 Simplex Method for LP

Lec 32 Branch Bound Method for MILP

Lec 33 MILP formulation of Production Planning Problem

Lec 34 Generalized Algebraic Modelling System

Lec 35 Solution of Production Planning Problem using GAMS NEOS MIRO

Lec 36 IBM ILOG CPLEX Optimization Studio

Lec 37 Constraint Programming Applications in IBM ILOG CPLEX Optimization Studio

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