Computer Aided Applied Single Objective Optimization (English)

   Tuesday, March 26, 2024   

Starting a new Lecture Notes Series on Computer Aided Applied Single Objective Optimization

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Channel Name: NPTEL IIT Guwahati

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Computer Aided Applied Single Objective Optimization By Lecture Notes together!

Lecture 1: Computer Aided Applied Single Objective Optimization

Lecture 2: Lec 1: Introduction to Optimization

Lecture 3: Lec 2 : Linear Regression

Lecture 4: Lec 3: Multiple, Polynomial and General Linear Least Square Regression

Lecture 5: Lec 4 : Nonlinear Regression

Lecture 6: Lec 5 : Regression : MATLAB Implementation

Lecture 7: Lec 6 : Teaching Learning Based Optimization

Lecture 8: Lec 7 : Implementation of TLBO in MATLAB

Lecture 9: Lec 8 : Preliminary Statistical analysis for metaheuristic techniques

Lecture 10: Lec 9 : Preliminary Statistical analysis - MATLAB implementation

Lecture 11: Lec 10 : Particle Swarm Optimization

Lecture 12: Lec 11 : Implementation of Particle Swarm Optimization using MATLAB

Lecture 13: Lec 12 : Differential Evolution

Lecture 14: Lec 13 : Implementation of Differential Evolution using MATLAB

Lecture 15: Lec 14 : Binary Coded Genetic Algorithm

Lecture 16: Lec 15 : Real Coded Genetic Algorithm

Lecture 17: Lec 16 : Implementation of Real Coded Genetic Algorithm using MATLAB

Lecture 18: Lec 17 : Artificial Bee Colony Algorithm

Lecture 19: Lec 18 : Working of Artificial Bee Colony Algorithm

Lecture 20: Lec 19 : Implementation of Artificial Bee Colony using MATLAB

Lecture 21: Lec 20 : Comparison of Variation Operators and Survival Strategies

Lecture 22: Lec 21 : Black-Box Optimization Problems

Lecture 23: Lec 22 : Constraint-Handling in Metaheuristic Techniques

Lecture 24: Lec 23 : Case Study: Production planning

Lecture 25: Lec 24 : Case Study: Production planning MATLAB Implementation

Lecture 26: Lec 25 : Parallelization and Vectorization of Fitness Function

Lecture 27: Lec 26: Constraint-Handling using Correction Approach

Lecture 28: Lec 27: MATLAB inbuilt functions: Linear & Mixed Integer Linear Programming

Lecture 29: Lec 28: MATLAB inbuilt functions: Nonlinear & Mixed Integer Nonlinear Programming

Lecture 30: Lec 29: MATLAB Optimization Tool: Options, Output Function, Vectorization, Parallelization

Lecture 31: Lec 30: MATLAB inbuilt functions: Multi-objective Optimization

Lecture 32: Lec 31: Simplex Method for LP

Lecture 33: Lec 32: Branch & Bound Method for MILP

Lecture 34: Lec 33: MILP formulation of Production Planning Problem

Lecture 35: Lec 34: Generalized Algebraic Modelling System

Lecture 36: Lec 35: Solution of Production Planning Problem using GAMS & NEOS, MIRO

Lecture 37: Lec 36: IBM ILOG CPLEX Optimization Studio

Lecture 38: Lec 37: Constraint Programming Applications in IBM ILOG CPLEX Optimization Studio