StochasticUniversalSamplingSelection Class

Stochastic Universal Sampling. Is a kind of Fitness Proportionate Selection. Fitness-Proportionate Selection Stochastic Universal Sampling is an elaborately-named variation of roulette wheel selection. Stochastic Universal Sampling ensures that the observed selection frequencies of each individual are in line with the expected frequencies. So if we have an individual that occupies 4.5% of the wheel and we select 100 individuals, we would expect on average for that individual to be selected between four and five times. Stochastic Universal Sampling guarantees this. The individual will be selected either four times or five times, not three times, not zero times and not 100 times. Standard roulette wheel selection does not make this guarantee. Wikipedia

public class StochasticUniversalSamplingSelection : SelectionBase

public class StochasticUniversalSamplingSelection : SelectionBase