🔬 Genetic Algorithms Simplified in 30 Seconds!
Understand the basics of GAs, including population, selection, crossover, and mutation — all inspired by natural evolution.
📌 Topics Covered:
• What are Genetic Algorithms?
• Encoding Strategies (Binary, Real, Permutation)
• Selection Methods (Roulette, Tournament, Elitism)
• Applications in ML, Scheduling, Optimization
🎯 Perfect for:
UGC NET | GATE CS | AI-ML Enthusiasts
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