mutation operators

Mutation operators are techniques used in genetic algorithms and other evolutionary algorithms to modify the genetic material (e.g., chromosomes) of potential solutions in order to create new candidate solutions that may be closer to an optimal solution. These operators simulate the process of genetic mutation in biological organisms, by randomly changing certain elements of a solution's representation to generate new solutions, which will then be evaluated for their fitness or quality. The objective of these mutation operators is to introduce diversity into the population and prevent the algorithm from getting stuck in local optima.

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