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Why do genetic algorithms work?
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Genetic algorithms are a way of solving optimization problems. They are based on the idea that natural selection is a powerful way to evolve solutions to problems. In a genetic algorithm, you start with a population of potential solutions, and then you use a process called “crossover” to combine two solutions together to create a new solution. This new solution is then used to create a new population of potential solutions. This process is repeated until the population converges on a solution that is optimal for the problem.