Differentiate between the effects of operator crossover and mutation in the genetic algorithm with suitable example.

In genetic algorithms, crossover and mutation are two primary operators that introduce diversity into the population, but they affect the solution search process differently.

Crossover is the process of combining two parent solutions to generate offspring. It promotes exploration by ____ _______ __________ _____ _____ _____ __________.
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