NOC:Computer Aided Applied Single Objective Optimization


Lecture 1 - Introduction to Optimization


Lecture 2 - Linear Regression


Lecture 3 - Multiple, Polynomial and General Linear Least Square Regression


Lecture 4 - Nonlinear Regression


Lecture 5 - Regression : MATLAB Implementation


Lecture 6 - Teaching Learning Based Optimization


Lecture 7 - Implementation of TLBO in MATLAB


Lecture 8 - Supplementary: Preliminary Statistical analysis for metaheuristic techniques


Lecture 9 - Supplementary: Preliminary Statistical analysis - MATLAB implementation


Lecture 10 - Particle Swarm Optimization


Lecture 11 - Implementation of Particle Swarm Optimization using MATLAB


Lecture 12 - Differential Evolution


Lecture 13 - Implementation of Differential Evolution using MATLAB


Lecture 14 - Binary Coded Genetic Algorithm


Lecture 15 - Real Coded Genetic Algorithm


Lecture 16 - Implementation of Real Coded Genetic Algorithm using MATLAB


Lecture 17 - Artificial Bee Colony Algorithm


Lecture 18 - Working of Artificial Bee Colony Algorithm


Lecture 19 - Implementation of Artificial Bee Colony using MATLAB


Lecture 20 - Comparison of Variation Operators and Survival Strategies


Lecture 21 - Black-Box Optimization Problems


Lecture 22 - Constraint-Handling in Metaheuristic Techniques


Lecture 23 - Case Study: Production planning


Lecture 24 - Case Study: Production planning MATLAB Implementation


Lecture 25 - Parallelization and Vectorization of Fitness Function


Lecture 26 - Constraint-Handling using Correction Approach


Lecture 27 - MATLAB inbuilt functions: Linear and Mixed Integer Linear Programming


Lecture 28 - MATLAB inbuilt functions: Nonlinear and Mixed Integer Nonlinear Programming


Lecture 29 - MATLAB Optimization Tool: Options, Output Function, Vectorization, Parallelization


Lecture 30 - MATLAB inbuilt functions: Multi-objective Optimization


Lecture 31 - Simplex Method for LP


Lecture 32 - Branch and Bound Method for MILP


Lecture 33 - MILP formulation of Production Planning Problem


Lecture 34 - Generalized Algebraic Modelling System


Lecture 35 - Solution of Production Planning Problem using GAMS and NEOS, MIRO