A genetic algorithm follows a trial and error approach.

Name: A genetic algorithm follows a trial and error approach.
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A genetic algorithm starts with a population of potential solutions (chromosomes) and uses selection, mutation, and crossover to generate new generations of solutions until an optimal solution is found. This process involves testing and evaluating each potential solution, which can be considered a trial and error approach.

A Genetic Algorithm Follows a Trial and Error Approach