Artificial Intelligence - Evolutionary Algorithms скачать в хорошем качестве

Artificial Intelligence - Evolutionary Algorithms

Artificial Intelligence Course in Farzin Academy:    • Artificial Intelligence - Introduction   In this Farzin Academy video, we explore Evolutionary Algorithms (EAs) — optimization methods inspired by natural selection and genetics. These algorithms work by maintaining a population of solutions, selecting parents based on fitness, and generating offspring through crossover and mutation. 🧬 You’ll learn how populations evolve over generations, how to apply different crossover techniques (one-point, multi-point, and averaging), and how mutations introduce diversity to avoid local optima. 🧠 Key Topics Covered: What is an evolutionary algorithm? Fitness, convergence, and divergence Crossover (1-point, multi-point, averaging) Mutation types (bit flip, random swap, Gaussian noise) Premature convergence and how to overcome it 🎯 Perfect for AI engineers, CS students, and anyone working with heuristic optimization or genetic programming. 👉 Subscribe to Farzin Academy for more intelligent algorithms and hands-on tutorials.