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This master’s course explores evolutionary algorithms inspired by natural processes, such as Genetic Algorithms, Evolution Strategies, and Genetic Programming. Topics include optimization, selection, mutation, crossover, and real-world applications. Emphasis is placed on both theory and practical problem-solving

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Eveloutionary_computing

This master’s course explores evolutionary algorithms inspired by natural processes, such as Genetic Algorithms, Evolution Strategies, and Genetic Programming. Topics include optimization, selection, mutation, crossover, and real-world applications. Emphasis is placed on both theory and practical problem-solving

About

This master’s course explores evolutionary algorithms inspired by natural processes, such as Genetic Algorithms, Evolution Strategies, and Genetic Programming. Topics include optimization, selection, mutation, crossover, and real-world applications. Emphasis is placed on both theory and practical problem-solving

Resources

Stars

2 stars

Watchers

1 watching

Forks

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