Examples of org.jamesii.core.experiments.TaskConfiguration

org.jamesii.core.experiments.TaskConfiguration
This class represents the a single task configuration. I.e., it describes which model to compute with which parameters, how often to replicate it, how to detect when a computation task can be stopped, and where to store the data in. If more than one execution of this configuration is necessary (as determined by {@link TaskConfiguration#getReplicationCriterionFactory()}), the configuration can be used to create the corresponding number of {@link SimulationRunConfiguration} . @author Roland Ewald @author Jan HimmelspachDate: 05.06.2007

          if (simTableInfo.getSimState() != ComputationRuntimeState.FINISHED) {
            continue;
          }


          // 1: store the simConfig's model parameters
          TaskConfiguration simConfig =
              simTableInfo.getSrti().getComputationTaskConfiguration();
          Map<String, ?> parameters = simConfig.getParameters();
          for (Entry<String, ?> parameter : parameters.entrySet()) {
            bufferedWriter.append(parameter.getKey() + "="
                + parameter.getValue() + sepSequence);
          }


          // 2: store some of the simConfig's simulation parameters
          bufferedWriter.append(simConfig.getSimStartTime() + sepSequence);
          bufferedWriter.append(simConfig.getSimStopFactory() + sepSequence);


          // 3: store the run information
          RunInformation runInfo = simTableInfo.getRunInfo();
          bufferedWriter.append(runInfo.getTotalRuntime() + sepSequence);
          bufferedWriter.append(runInfo.getModelCreationTime() + sepSequence);

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   */
  private static final long serialVersionUID = -8926002988010907858L;


  @Override
  void renderSimTableInfo(SimulationTableInformation sti) {
    TaskConfiguration simConfig =
        sti.getSrti().getComputationTaskConfiguration();
    this.setText("URI:"
        + simConfig.getModelReaderParams().getSubBlockValue("URI"));
  }

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  public void execute(IOptimizationAlgorithm optAlgo) {
    Optimizer optimizer = new Optimizer(optAlgo, problemDef);
    try {
      while (true) {
        optimizer.next();
        TaskConfiguration simConfig = new TaskConfiguration();
        RunInformation runInfo =
            new RunInformation(simConfig.newComputationTaskConfiguration(null));
        runInfo.setResponse(new HashMap<String, Object>());
        optimizer.executionFinished(null, runInfo);
      }
    } catch (NoNextVariableException ex) {
      paretoFront = optimizer.getParetoFront();

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org.jamesii.core.experiments.instrumentation.model.IModelInstrumenter

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

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org.jamesii.core.parameters.ParameterBlock

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