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mediumAI-checkedGenetic Algorithms

A genetic algorithm keeps a population, mutates individuals at random and selects the fitter ones, but never applies crossover. Which description fits it best?

A parallel form of hill climbing on the fitness landscape1
Gradient ascent on the fitness function2
Means–ends analysis, reducing the difference to a goal state3
An exhaustive search that eventually tries every possible genome4

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