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Explain the principles behind Genetic Algorithms and how they can be used for AI optimization.
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Answer Posted / Abhishek Kumar Singh
Genetic algorithms are a type of evolutionary algorithm that mimic natural selection processes to solve optimization problems. They work by representing solutions as chromosomes, which undergo mutation, crossover, and selection operations over multiple generations. The goal is to evolve a population of chromosomes towards better solutions by favoring individuals with higher fitness values. Genetic algorithms can be used for AI optimization tasks like hyperparameter tuning, function approximation, and constraint satisfaction problems.
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