Genetic Algorithm Implementation in Python | Step-by-Step Evolutionary Optimization
In this video, we’ll implement a *Genetic Algorithm* from scratch using Python! 🧬💻
This hands-on session builds on our previous explanation and shows how genetic principles like *selection**, **crossover**, and **mutation* can solve optimization problems.
✅ What You'll Learn:
Defining the problem and fitness function
Initializing a population
Applying selection, crossover, and mutation
Evolving the population across generations
Analyzing final results and best solution
📌 Tools & Libraries Used:
Python
NumPy
Matplotlib (for visualization, optional)
🎯 Whether you're building AI for optimization, game bots, or neural network tuning, this video gives you the practical foundation for Genetic Algorithms.
https://drive.google.com/file/d/1tMfa...
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