![]() Each candidate solution has a set of properties (its chromosomes or genotype) which can be mutated and altered traditionally, solutions are represented in binary as strings of 0s and 1s, but other encodings are also possible. In a genetic algorithm, a population of candidate solutions (called individuals, creatures, or phenotypes) to an optimization problem is evolved toward better solutions.
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