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.
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