Genetic Algorithms sound complex—until you see how nature inspired them. In this video, I break down how genetic algorithms actually work using a simple visual example: ✅ Population → Selection → Crossover → Mutation ✅ How solutions "evolve" over generations ✅ Fitness scores and convergence visualised step-by-step ✅ Simulation Example to understand the algorithm effectively By the end, you’ll understand not just the theory, but WHY genetic algorithms solve problems that brute-force and classical maths can't. What You’ll Learn: What is a Genetic Algorithm? Key concepts: chromosome, fitness function, crossover, mutation Example simulation of evolution step by step Why GAs are used in scheduling, route planning, neural networks, design optimization How randomness + selection = intelligence 📌 Want the code or animation file? Comment “GA CODE” and I’ll send it. 💬 Have questions? Drop them below—I reply to every comment. #geneticalgorithm #artificialintelligence #EvolutionaryAlgorithms #machinelearning #optimization #NatureInspiredAI #neuralnetworks #aiexplained #computerscience #algorithms #education #scienceyoutube #optimizationalgorithm #maths #ml #science