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Selection OperatorsSelection is a genetic operator that chooses a chromosome from the current generations population for inclusion in the next generations population. Before making it into the next generations population, selected chromosomes may undergo crossover and / or mutation (depending upon the probability of crossover and mutation) in which case the offspring chromosome(s) are actually the ones that make it into the next generations population. OptiGen Library includes the
following types of selection: Tournament - A selection operator which uses roulette selection N times to produce a tournament subset of chromosomes. The best chromosome in this subset is then chosen as the selected chromosome. This method of selection applies addition selective pressure over plain roulette selection. Top Percent - A selection operator which randomly selects a chromosome from the top N percent of the population as specified by the user. Best - A selection operator which selects the best chromosome (as determined by fitness). If there are two or more chromosomes with the same best fitness, one of them is chosen randomly. Random - A selection operator which randomly selects a chromosome from the population. Constraint Dominate - Solution x is said to Constrain-Dominate if any of the following conditions are true:
Solution x and y are both feasible but solution x has a smaller constraint violation. Solution x and y are feasible and solution x dominate solution y in the usual sense. |
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