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 ------------------ doc/jcgp/backend/modules/es/MuPlusLambda.html | 330 -------------------- .../backend/modules/es/TournamentSelection.html | 333 --------------------- .../modules/es/class-use/EvolutionaryStrategy.html | 204 ------------- .../backend/modules/es/class-use/MuPlusLambda.html | 124 -------- .../modules/es/class-use/TournamentSelection.html | 124 -------- doc/jcgp/backend/modules/es/package-frame.html | 22 -- doc/jcgp/backend/modules/es/package-summary.html | 162 ---------- doc/jcgp/backend/modules/es/package-tree.html | 146 --------- doc/jcgp/backend/modules/es/package-use.html | 180 ----------- 10 files changed, 1915 deletions(-) delete mode 100644 doc/jcgp/backend/modules/es/EvolutionaryStrategy.html delete mode 100644 doc/jcgp/backend/modules/es/MuPlusLambda.html delete mode 100644 doc/jcgp/backend/modules/es/TournamentSelection.html delete mode 100644 doc/jcgp/backend/modules/es/class-use/EvolutionaryStrategy.html delete mode 100644 doc/jcgp/backend/modules/es/class-use/MuPlusLambda.html delete mode 100644 doc/jcgp/backend/modules/es/class-use/TournamentSelection.html delete mode 100644 doc/jcgp/backend/modules/es/package-frame.html delete mode 100644 doc/jcgp/backend/modules/es/package-summary.html delete mode 100644 doc/jcgp/backend/modules/es/package-tree.html delete mode 100644 doc/jcgp/backend/modules/es/package-use.html (limited to 'doc/jcgp/backend/modules/es') 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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Class EvolutionaryStrategy

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    public abstract class EvolutionaryStrategy
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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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    Module
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      Method Summary

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      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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        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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        population - the population to evolve.
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        mutator - the mutator with which to mutate the promoted individuals.
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Class MuPlusLambda

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    public class MuPlusLambda
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    (μ + λ)-ES -

    - This strategy selects the μ fittest chromosomes from the population. - The promoted individuals are copied into the new population and mutated - λ times, but also carried forward unchanged. The total population size - is μ + λ. -

    - Two integer parameters are used to control this strategy: parents - and offspring. They are constrained in that they must always add up to - the population size, and must never be smaller than 1. -
    - One additional parameter, report, controls whether a detailed log of the - algorithm's operation is to be printed or not. Reports respect the report - interval base parameter.
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    Author:
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    Eduardo Pedroni
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    EvolutionaryStrategy
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      Constructor Summary

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      Constructor and Description
      MuPlusLambda(Resources resources) -
      Creates a new instance of MuPlusLambda.
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      Method Summary

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      Modifier and TypeMethod and Description
      voidevolve(Population population, - Mutator mutator) -
      Performs the selection algorithm and uses the mutator to create - the next generation of solutions.
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        public MuPlusLambda(Resources resources)
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        Creates a new instance of MuPlusLambda.
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        evolve

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        public void evolve(Population population,
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        Description copied from class: EvolutionaryStrategy
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        Performs the selection algorithm and uses the mutator to create - the next generation of solutions.
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        Specified by:
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        evolve in class EvolutionaryStrategy
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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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Class TournamentSelection

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    public class TournamentSelection
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    Tournament selection -

    - This strategy generates a new population by selecting a specified number - of chromosomes from the original population and selecting the fittest out - of the isolated subset (the tournament). The selected individual is mutated - using the specified mutator. This process is repeated until the new population - is complete. -

    - One integer parameter is used to control this strategy: tournament - size. This must always be greater than 0 and smaller than or equal to the - population size. Setting it to equal population size results in the same - chromosome being selected for every tournament, and setting it to 1 leads - to an effectively random search. -
    - One additional parameter, report, controls whether a detailed log of the - algorithm's operation is to be printed or not. Reports respect the report - interval base parameter.
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      Performs the selection algorithm and uses the mutator to create - the next generation of solutions.
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        Description copied from class: EvolutionaryStrategy
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        Performs the selection algorithm and uses the mutator to create - the next generation of solutions.
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        Specified by:
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        evolve in class EvolutionaryStrategy
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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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