Genetic Algorithms are such that use the concept of evolution to evolve a solution to a problem. The can be applied to a variety of applications, from economics to biology. A genetic algorithm typically requires three main aspects, an ecosystem of algorithms, a fitness criteria, and the ability to mutate or combine. The algorithm typically starts out simple, but the simple algorithms can change and combine to produce more complex algorithms that give better solutions to the problem domain.

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