Algorithmic Implementation

Programming

2024-01-19

Lessons List

Evolutionary Computation for Single and Multi Objective Optimization Intro Video

Lec 1 Introduction to Optimization

Lec 2 Introduction to Evolutionary Computation

Lec 3 Binary Coded Genetic Algorithm BGA

Lec 4 Operators and Simulations of Binary Coded Genetic Algorithm

Lec 5 Real Coded Genetic Algorithm RGA

Lec 6 Operators and Simulations of Real Coded Genetic Algorithm

Lec 7 Algorithmic Implementation of BGA and RGA

Lec 8 Particle Swarm Optimization PSO

Lec 9 Simulations and Algorithmic Implementation of Particle Swarm Optimization

Lec 10 Differential Evolution DE

Lec 11 Simulations and Algorithmic Implementation of Differential Evolution

Lec 12 Constrained Optimization Introduction and Optimality

Lec 13 Penalty Function Methods for Evolutionary Computing Techniques

Lec 14 Evolutionary Computing Techniques Separation of Objective Function and Constraints

Lec 15 Simulations of Constraint Handling Techniques

Lec 16 Simulations of Constraint Handling Techniques Part 2

Lec 17 Introduction to Multi Objective Optimization Part 1

Lec 18 Introduction to Multi Objective Optimization Part 2

Lec 19 Multi Objective Optimization Ranking and Diversity

Lec 20 Classical Multi Objective Optimization Methods

Lec 21 Non Dominated Genetic Algorithm NSGA II Introduction

Lec 22 Non Dominated Genetic Algorithm NSGA II Simulations

Lec 23 Strength Pareto Evolutionary Algorithm SPEA2 Introduction

Lec 24 Strength Pareto Evolutionary Algorithm SPEA2 Simulations

Lec 25 Performance Assessment of Multi Objective EC Techniques

Lec 26 Closure of EC for Single and Multi Objective Optimization

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Rahjeh Hanna Mansour

EXCELLENT

2026-02-13

Himanshu Kumar

good

2024-02-06

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Algorithmic Implementation course in hindi, in this course covers practical aspects of turning algorithms into functional code, emphasizing efficient execution techniques.

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Algorithmic Implementation

Programming

Evolutionary Computation for Single and Multi Objective Optimization Intro Video

Lec 1 Introduction to Optimization

Lec 2 Introduction to Evolutionary Computation

Lec 3 Binary Coded Genetic Algorithm BGA

Lec 4 Operators and Simulations of Binary Coded Genetic Algorithm

Lec 5 Real Coded Genetic Algorithm RGA

Lec 6 Operators and Simulations of Real Coded Genetic Algorithm

Lec 7 Algorithmic Implementation of BGA and RGA

Lec 8 Particle Swarm Optimization PSO

Lec 9 Simulations and Algorithmic Implementation of Particle Swarm Optimization

Lec 10 Differential Evolution DE

Lec 11 Simulations and Algorithmic Implementation of Differential Evolution

Lec 12 Constrained Optimization Introduction and Optimality

Lec 13 Penalty Function Methods for Evolutionary Computing Techniques

Lec 14 Evolutionary Computing Techniques Separation of Objective Function and Constraints

Lec 15 Simulations of Constraint Handling Techniques

Lec 16 Simulations of Constraint Handling Techniques Part 2

Lec 17 Introduction to Multi Objective Optimization Part 1

Lec 18 Introduction to Multi Objective Optimization Part 2

Lec 19 Multi Objective Optimization Ranking and Diversity

Lec 20 Classical Multi Objective Optimization Methods

Lec 21 Non Dominated Genetic Algorithm NSGA II Introduction

Lec 22 Non Dominated Genetic Algorithm NSGA II Simulations

Lec 23 Strength Pareto Evolutionary Algorithm SPEA2 Introduction

Lec 24 Strength Pareto Evolutionary Algorithm SPEA2 Simulations

Lec 25 Performance Assessment of Multi Objective EC Techniques

Lec 26 Closure of EC for Single and Multi Objective Optimization

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Algorithmic Implementation

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