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Genetic operator
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==Combining operators== While each operator acts to improve the solutions produced by the evolutionary algorithm working individually, the operators must work in conjunction with each other for the algorithm to be successful in finding a good solution.<ref name=":0" /> Using the selection operator on its own will tend to fill the solution population with copies of the best solution from the population. If the selection and crossover operators are used without the mutation operator, the algorithm will tend to converge to a [[local minimum]], that is, a good but sub-optimal solution to the problem. Using the mutation operator on its own leads to a [[random walk]] through the search space. Only by using all three operators together can the evolutionary algorithm become a noise-tolerant global search algorithm, yielding good solutions to the problem at hand.<ref name=ga-intro />
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