From 4f26361eb08aa09334d1eea0a124110c20d809ce Mon Sep 17 00:00:00 2001 From: Eduardo Pedroni Date: Sat, 18 Oct 2014 15:21:45 +0200 Subject: Moved javadocs to a different repository for hosting, updated README --- .../backend/modules/es/EvolutionaryStrategy.html | 290 --------------------- 1 file changed, 290 deletions(-) delete mode 100644 doc/jcgp/backend/modules/es/EvolutionaryStrategy.html (limited to 'doc/jcgp/backend/modules/es/EvolutionaryStrategy.html') diff --git a/doc/jcgp/backend/modules/es/EvolutionaryStrategy.html b/doc/jcgp/backend/modules/es/EvolutionaryStrategy.html deleted file mode 100644 index 3469469..0000000 --- a/doc/jcgp/backend/modules/es/EvolutionaryStrategy.html +++ /dev/null @@ -1,290 +0,0 @@ - - - - - -EvolutionaryStrategy - - - - - - - - -
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jcgp.backend.modules.es
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Class EvolutionaryStrategy

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    Direct Known Subclasses:
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    MuPlusLambda, TournamentSelection
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    public abstract class EvolutionaryStrategy
-extends Module
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    This class specifies the characteristics of an evolutionary strategy. The evolutionary - strategy's job is to generate the next population of solutions. In JCGP this is done by modifying - the provided population object rather than creating a new one. -

    - A typical implementation of EvolutionaryStratey iterates through the chromosomes - in the population and selects the individual(s) to be promoted. It then uses - mutator.mutate() to generically mutate the promoted individual(s). Parameter-dependent - strategies can be implemented by accessing the parameters via the resources - argument. -

    - Parameters may be specified to control the implemented strategy. Any parameters - registered with registerParameters() should be displayed by the user interface, - if it is being used. See Module for more information. -

    - It is advisable to use Resources.reportln() and Resources.report() - to print any relevant information. Note that reportln() and report() are affected - by the report interval base parameter. Use Resources.println() and - Resources.print() to print information regardless of the current generation. - See Resources for more information.
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    Author:
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    Eduardo Pedroni
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    See Also:
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    Module
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      Method Summary

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      All Methods Instance Methods Abstract Methods 
      Modifier and TypeMethod and Description
      abstract voidevolve(Population population, - Mutator mutator) -
      Performs the selection algorithm and uses the mutator to create - the next generation of solutions.
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        -equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
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      Method Detail

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        evolve

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        public abstract void evolve(Population population,
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        Performs the selection algorithm and uses the mutator to create - the next generation of solutions.
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        Parameters:
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        population - the population to evolve.
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        mutator - the mutator with which to mutate the promoted individuals.
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