Genetic algorithms are like a game of chance, like rolling a dice, but with computers and numbers instead. They use chance and computers to try to find the best solution to a problem. First, it sets up a bunch of possible solutions to the problem and then it "plays" a game, mixing and matching different solutions to see which ones work best. It then takes the best solution and tries to make it even better with small changes until it comes up with the best answer.