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java.lang.Objectes.udc.gii.common.eaf.algorithm.operator.reproduction.mutation.de.crossover.CrossOverScheme
es.udc.gii.common.eaf.algorithm.operator.reproduction.mutation.de.crossover.ExpCrossOverScheme
public class ExpCrossOverScheme
This class represents a specific implementation of a CrossOverScheme. Specifically, this class implements the exponential crossover scheme.
The exponential crossover was designed to be similar to the one point and two point crossover variants, generally used in genetic algorithms. This cross over scheme constructs the trial vector by taking consecutive components (in a circular manner) from the mutant vector, as we describe here:
zij is equal to vij (the trial vector), while Ui ≤ CR, where Ui is a random value. Otherwise, zij is equal to xij (the target vector).
To use this specific cross over scheme, the xml configuration code should have the configuration of the CR parameter. So the xml code should be like this:
<CrossOverScheme>
<Class>es.udc.gii.common.eaf.algorithm.operator.reproduction.mutation.de.crossover.ExpCrossOverScheme</Class>
<CR>value</CR>
...
<CrossOverScheme>
where the tag CR indicates the plugin used. If some of the parameters do not appear in the configuration, they are set
to their default values.Default values:
Constructor Summary | |
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ExpCrossOverScheme()
Creates a new instance of ExpCrossOverScheme |
Method Summary | |
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Individual |
crossOver(EvolutionaryAlgorithm ea,
Individual target,
Individual v)
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Methods inherited from class es.udc.gii.common.eaf.algorithm.operator.reproduction.mutation.de.crossover.CrossOverScheme |
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configure, getCRPlugin, setCRPlugin |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public ExpCrossOverScheme()
Method Detail |
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public Individual crossOver(EvolutionaryAlgorithm ea, Individual target, Individual v)
crossOver
in class CrossOverScheme
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