Lecture 1 - Introduction to Optimization
Lecture 2 - Classical Optimization
Lecture 3 - Introduction to Linear Problem
Lecture 4 - General system of equations
Lecture 5 - Simplex Method
Lecture 6 - Solution of Linear Problem using Excel Solver
Lecture 7 - Bracketing Method
Lecture 8 - Region Elimination Methods
Lecture 9 - Gradient Based Method and Examples
Lecture 10 - Convex Function
Lecture 11 - Line Search Methods for Multi-Variable Problems
Lecture 12 - Quadratic Approximation Method
Lecture 13 - Constrained Optimization I: Equality constraints
Lecture 14 - Constrained Optimization II: Inequality constraints
Lecture 15 - Constrained Optimization III: Penalty function methods
Lecture 16 - Introduction to Metaheuristic Optimization
Lecture 17 - Genetic Algorithms - Part I
Lecture 18 - Genetic Algorithms - Part II
Lecture 19 - Genetic Algorithms - Part III
Lecture 20 - Real Coded Genetic Algorithms
Lecture 21 - Multi-modal optimization
Lecture 22 - Introductioin to R
Lecture 23 - GA using R (Unconstrained problem)
Lecture 24 - GA using R (Constrained problem)
Lecture 25 - Constraint Handling in GAs
Lecture 26 - Evolution Strategies (ESs)
Lecture 27 - Particle swarm optimization
Lecture 28 - Introductioin to R - Part II
Lecture 29 - Multi-objective Genetic Algorithms
Lecture 30 - Introduction to Differential Evolution
Lecture 31 - Introduction to Matlab
Lecture 32 - Optimization using Matlab (Classical methods)
Lecture 33 - A tutorial on Differential Evolution
Lecture 34 - NSGA II Using R
Lecture 35 - Optimization using MATLAB
Lecture 36 - Optimization using Excel Solver
Lecture 37 - Multi-objective Genetic Algorithms using MATLAB
Lecture 38 - Solution of a Design Problem Using MATLAB
