public class BitStringMutation extends Object implements EvolutionaryOperator<BitString>
BitString
according to some
probability.BitString
Constructor and Description |
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BitStringMutation(NumberGenerator<Probability> mutationProbability,
NumberGenerator<Integer> mutationCount)
Creates a mutation operator for bit strings, with the probability that any
given bit will be flipped governed by the specified number generator.
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BitStringMutation(Probability mutationProbability)
Creates a mutation operator for bit strings with the specified probability that a given
bit string will be mutated, with exactly one bit being flipped.
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Modifier and Type | Method and Description |
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List<BitString> |
apply(List<BitString> selectedCandidates,
Random rng)
Apply the operation to each entry in the list of selected
candidates.
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public BitStringMutation(Probability mutationProbability)
mutationProbability
- The probability of a candidate being mutated.public BitStringMutation(NumberGenerator<Probability> mutationProbability, NumberGenerator<Integer> mutationCount)
mutationProbability
- The (possibly variable) probability of a candidate
bit string being mutated at all.mutationCount
- The (possibly variable) number of bits that will be flipped
on any candidate bit string that is selected for mutation.public List<BitString> apply(List<BitString> selectedCandidates, Random rng)
EvolutionaryOperator
Apply the operation to each entry in the list of selected candidates. It is important to note that this method operates on the list of candidates returned by the selection strategy and not on the current population. Each entry in the list (not each individual - the list may contain the same individual more than once) must be operated on exactly once.
Implementing classes should not assume any particular ordering (or lack of ordering) for the selection. If ordering or shuffling is required, it should be performed by the implementing class. The implementation should not re-order the list provided but instead should make a copy of the list and re-order that. The ordering of the selection should be totally irrelevant for operators that process each candidate in isolation, such as mutation. It should only be an issue for operators, such as cross-over, that deal with multiple candidates in a single operation.
The operator should not modify any of the candidates passed in. Instead it should return a list that contains evolved copies of those candidates (umodified candidates can be included in the results without having to be copied).
apply
in interface EvolutionaryOperator<BitString>
selectedCandidates
- The individuals to evolve.rng
- A source of randomness for stochastic operators (most
operators will be stochastic).