Curious about how Genetic Algorithms (GA) work and how to implement them in MATLAB?
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In this tutorial, I break down the entire process of applying Genetic Algorithms using MATLAB—from understanding the core concepts to writing and executing the code.
Whether you're working on an optimization problem, tackling engineering challenges, or just exploring evolutionary computing, this video gives you a practical, hands-on approach to using GA in MATLAB effectively.
📌 What you’ll learn in this video:
Basics of Genetic Algorithms and their role in optimization
Defining fitness functions in MATLAB
Setting GA parameters (population size, crossover, mutation, etc.)
Running and analyzing results using MATLAB’s built-in functions
Real-world example implementation
💻 This tutorial is beginner-friendly, yet insightful enough for advanced users who want a clear walkthrough of MATLAB GA implementation. Perfect for students, researchers, and engineers working with optimization problems.
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