Evolutionary Algorithms

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Evolutionary algorithms are methods that solve problems by gradually improving a group of possible solutions over time. Instead of testing just one solution, the algorithm works with many options at once. Each option is evaluated to see how well it performs, and the better ones are kept while the weaker ones are discarded. New solutions are then created by slightly changing the better ones, and the process repeats.

After many rounds, the average score improves. This method fits problems with huge search spaces or unclear rules, where a direct formula is hard to write. Results depend on two choices: how a candidate is represented and how the score is defined.

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