Combining portions of good outcomes in the hope of creating an even better outcome is _______.
A)crossover
B)mutation
C)selection
D)testing

Question

Quizplus · Accepted Answer

Crossover is a genetic operator used in genetic algorithms to combine portions of good outcomes from different solutions in the hope of creating an even better solution. Mutation randomly changes one or more genes in a solution. Selection is the process of choosing the best solutions to reproduce. Testing is the evaluation of the performance of a solution.

Combining Portions of Good Outcomes in the Hope of Creating