Evolutionary Computation for Single and Multi-Objective Optimization (English)

   Monday, April 01, 2024   

Starting a new Lecture Notes Series on Evolutionary Computation for Single and Multi-Objective Optimization

Youtube Lecture Playlist Credits 

Channel Name: NPTEL IIT Guwahati

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Evolutionary Computation for Single and Multi-Objective Optimization By Lecture Notes together!

Lecture 1: Evolutionary Computation for Single and Multi-Objective Optimization

Lecture 2: Lec 1 : Introduction to Optimization

Lecture 3: Lec 2 : Introduction to Evolutionary Computation

Lecture 4: Lec 3 : Binary-Coded Genetic Algorithm (BGA)

Lecture 5: Lec 4 : Operators and Simulations of Binary-Coded Genetic Algorithm

Lecture 6: Lec 5 : Real-Coded Genetic Algorithm (RGA)

Lecture 7: Lec 6 : Operators and Simulations of Real-Coded Genetic Algorithm

Lecture 8: Lec 7 : Algorithmic Implementation of BGA and RGA

Lecture 9: Lec 8 : Particle Swarm Optimization (PSO)

Lecture 10: Lec 9 : Simulations and Algorithmic Implementation of Particle Swarm Optimization

Lecture 11: Lec 10 : Differential Evolution (DE)

Lecture 12: Lec 11 : Simulations and Algorithmic Implementation of Differential Evolution

Lecture 13: Lec 12 : Constrained Optimization: Introduction and Optimality

Lecture 14: Lec 13 : Penalty Function Methods for Evolutionary Computing Techniques

Lecture 15: Lec 14 : Evolutionary Computing Techniques: Separation of Objective Function and Constraints

Lecture 16: Lec 15 : Simulations of Constraint Handling Techniques

Lecture 17: Lec 16 : Simulations of Constraint Handling Techniques: Part 2

Lecture 18: Lec 17 : Introduction to Multi-Objective Optimization: Part 1

Lecture 19: Lec 18 : Introduction to Multi-Objective Optimization: Part 2

Lecture 20: Lec 19 : Multi-Objective Optimization: Ranking and Diversity

Lecture 21: Lec 20 : Classical Multi-Objective Optimization Methods

Lecture 22: Lec 21 : Non-Dominated Genetic Algorithm: NSGA-II: Introduction

Lecture 23: Lec 22 : Non-Dominated Genetic Algorithm: NSGA-II: Simulations

Lecture 24: Lec 23 : Strength Pareto Evolutionary Algorithm: SPEA2: Introduction

Lecture 25: Lec 24 : Strength Pareto Evolutionary Algorithm: SPEA2: Simulations

Lecture 26: Lec 25 : Performance Assessment of Multi-Objective EC Techniques

Lecture 27: Lec 26 : Closure of EC for Single and Multi-Objective Optimization