Genetic algorithms
A) develop solutions to particular problems using fitness, crossover, and mutation.
B) represent knowledge as groups of characteristics.
C) do not work for most problems.
D) are based on logic.

Question

Quizplus · Accepted Answer

Genetic algorithms use fitness functions to evaluate potential solutions, crossover to combine two solutions, and mutation to introduce slight variations. They are commonly used for optimization problems and have been shown to be effective in finding optimal or near-optimal solutions. Therefore, option A is correct. Option B describes a different approach to representing knowledge, known as attribute-value pairs. Option C is not true, as genetic algorithms can be effective for many problems. Finally, option D is incorrect since genetic algorithms are a heuristic optimization technique and not based on logic.

Genetic Algorithms