NPTEL : NOC:Computer Aided Applied Single Objective Optimization (Chemical Engineering)

Co-ordinators : Prof. Prakash Kotecha


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

Lecture 36 - IBM ILOG CPLEX Optimization Studio

Lecture 37 - Constraint Programming Applications in IBM ILOG CPLEX Optimization Studio