A4.3.7 Genetic Algorithms
A genetic algorithm borrows its method from evolution. Instead of learning from a dataset, it starts with a set of possible solutions to a problem and improves them over many generations, keeping the best, combining them, and introducing small changes, much as natural selection shapes a population over time. This page describes the seven stages a genetic algorithm moves through, from the starting population to the...