Genetic Algorithms: Key Concepts & Processes

This video is part of the AI Search Algorithms series, where we break down Genetic Algorithms—a powerful, evolutionary approach to optimization. Learn the core concepts like chromosome representation, fitness evaluation, selection, crossover, and mutation, all explained with intuitive examples like the N-Queens Problem and TSP.

👉 Topics Covered:

What are Genetic Algorithms?

Chromosome Representation (Binary, Permutation)

Fitness Function Examples

Parent Selection Methods (Roulette, SUS, Rank)

Crossover and Mutation Techniques

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