The mechanics, that is the basis of genetic algorithms, is simple. We start with a population of designs that evolves in an artificial environment. The basic operators are three: reproduction saves the most fitting individuals. If we are considering a maximisation problem more fitting individuals are the individuals with highervalues of the objective functions. The reproduction operator select individuals on the basis of their fitness. crossover combines design characteristics between individuals in the population. mutation randomly changes one of the position into the binary string that describes the single individual.

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