Examples of org.jamesii.core.experiments.optimization.parameter.Configuration

Package org.jamesii.core.experiments.optimization.parameter

Examples of org.jamesii.core.experiments.optimization.parameter.Configuration

org.jamesii.core.experiments.optimization.parameter.Configuration
Base class for model variables. All variables in this map have to have unique names, but they might of arbitrary "type". This is mostly a convenience wrapper for a normal {@link HashMap}, but it provides some methods in addition which may make life easier. @author Jan Himmelspach (based on ideas from Arvid Schwecke)


  @Override
  public void executionFinished(TaskConfiguration simConfig,
      RunInformation runInfo) {


    Configuration arrivedConfig =
        extractConfigurationFromSimulationConfiguration(simConfig);


    Map<String, BaseVariable<?>> observedResponses =
        extractResponse(runInfo.getResponse());

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      while (iOF.hasNext()) {
        OptimizerFactory of = iOF.next();
        boolean ok = false;
        // IOrderedSet is needed of optimizer and supported by definition
        if (of.needsOrderedSet()) {
          Configuration c = parameter.getSubBlockValue("factors");
          if (c.factorsInstanceof(IQuantitativeVariable.class)) {
            ok = true;
          }
        } else {
          ok = true;
        }

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  protected void newConfigurationCreated() throws NoNextVariableException {


    Map<String, Double> representedValues =
        optimizationProblem.calcRepresentedValue(currentConfigurationRuns);


    Configuration tempConfig;
    try {
      tempConfig = currentConfigurationRuns.getConfiguration().clone();
    } catch (CloneNotSupportedException e) {
      throw new NoNextVariableException(e);
    }

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      paretoFront.put(configuration, representativeValues);
    }
    Map<Configuration, Map<String, Double>> newEntries = new LinkedHashMap<>();
    for (Iterator<Configuration> it = paretoFront.keySet().iterator(); it
        .hasNext();) {
      Configuration config = it.next();
      Map<String, Double> values = paretoFront.get(config);
      int comp = reprValueComparator.compare(representativeValues, values);
      if (comp > 0) {
        checkFlag = false;
      }

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  @Override
  public VariablesAssignment getNextVariableAssignment() {
    VariablesAssignment assignment = new VariablesAssignment();
    try {
      Configuration conf = next();
      if (conf == null) {
        return null;
      }
      for (BaseVariable<?> var : conf.values()) {
        assignment.put(var.getName(), var);
      }
    } catch (NoNextVariableException ex) {
      SimSystem.report(Level.INFO, state.toString());
      return null;

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    if (runningConfigurations.size() == 0) {
      return false;
    }


    int position = 0;
    Configuration config = configInfos.getConfiguration();


    while (position < runningConfigurations.size()) {
      if (runningConfigurations.get(position).containsConfiguration(config)) {
        return true;
      }

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   * @return the corresponding (parameter-) configuration
   */
  private Configuration extractConfigurationFromSimulationConfiguration(
      TaskConfiguration simConfig) {


    Configuration config;
    try {
      config = optimizationProblem.createFactors();
    } catch (CloneNotSupportedException e) {
      SimSystem.report(e);
      return null;
    }


    for (BaseVariable<?> factor : config.values()) {
      BaseVariable<?> temp =
          (BaseVariable<?>) simConfig.getParameters().get(factor.getName());
      config.put(factor.getName(), temp);
    }


    return config;
  }

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    problemDef.setRepresentedValueCalculation(new ArithmeticMeanOfObjectives());
    problemDef.addCancelOptimizationCriteria(cancelCriterion);


    for (Map<String, BaseVariable<?>> startConfig : startConfigs) {
      problemDef.addPredefinedConfiguration(new Configuration(startConfig));
    }
  }

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Related Classes of org.jamesii.core.experiments.optimization.parameter.Configuration

org.jamesii.core.experiments.optimization.functions.FunctionOptimization

org.jamesii.core.experiments.optimization.Optimizer

org.jamesii.core.experiments.optimization.ParallelOptimizer

org.jamesii.core.experiments.optimization.plugintype.AbstractOptimizerFactory$SupportOrderedSetCriterion

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