Genetic algorithms figure out which rules from prior cycles did not fire, which rules from the prior cycle will not fire in the next cycle, and which rules from the prior cycle that did not fire are most likely to fire next.

Question

Quizplus · Accepted Answer

Genetic algorithms are optimization and search algorithms inspired by the principles of natural selection and genetics. They do not specifically focus on rules that did or did not fire in cycles but rather evolve solutions to problems through processes mimicking biological evolution, such as selection, crossover, and mutation.

Genetic Algorithms Figure Out Which Rules from Prior Cycles Did