A genetic operator is a mechanism used in genetic algorithms to transform or combine candidate solutions. Common operators include selection, crossover, and mutation, which guide the search toward better solutions over successive generations.
An operator used in genetic algorithms to guide the algorithm towards a solution to a given problem. There are three main types of operators (mutation, crossover and selection), which must work in conjunction with one another in order for the algorithm to be successful.