<human>:  Why do genetic algorithms work?
<bot>: 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.