ParetoOptimalSetStabilityCriterion

java.lang.Object
- de.uka.ipd.sdq.tcfmoop.terminationcriteria.AbstractTerminationCriterion
- - de.uka.ipd.sdq.tcfmoop.terminationcriteria.ParetoOptimalSetStabilityCriterion

All Implemented Interfaces:: ITerminationCriterion

public class ParetoOptimalSetStabilityCriterion
extends AbstractTerminationCriterion

Field Summary
- Fields inherited from class de.uka.ipd.sdq.tcfmoop.terminationcriteria.AbstractTerminationCriterion
  archive, evaluationResult, name, outputInformation, outputNeedsUpdate, population, suggestedStop

Constructor Summary

Constructors
Constructor	Description
`ParetoOptimalSetStabilityCriterion(IConfiguration conf, org.opt4j.core.optimizer.Population population, org.opt4j.core.optimizer.Archive archive)`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`void`	`evaluateImpl(int iteration, long currentTime)`	The implementation of the Evaluation logic is placed here.
`void`	`updateOutputInformation()`

Methods inherited from class de.uka.ipd.sdq.tcfmoop.terminationcriteria.AbstractTerminationCriterion
evaluate, getEvaluationResult, getName, getOutputInformation

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - ParetoOptimalSetStabilityCriterion
```
public ParetoOptimalSetStabilityCriterion(IConfiguration conf,
                                          org.opt4j.core.optimizer.Population population,
                                          org.opt4j.core.optimizer.Archive archive)
```
- Method Detail
  - evaluateImpl
```
public void evaluateImpl(int iteration,
                         long currentTime)
```
    The implementation of the Evaluation logic is placed here. Implements the Pareto Optimal Set Stability Criterion: This criterion evaluates how many candidates have remained pareto optimal and for how many iterations. If the numbers reach the supplied requirements this criterion decides that the spareto optimal set is stable enough and probably would not change in the near future. And therefore suggests the termination of the optimization.
    
    Specified by:
    
    evaluateImpl in class AbstractTerminationCriterion
    
    Parameters:
    
    iteration - - The number of the current iteration
    
    currentTime - - The current time
  - updateOutputInformation
```
public void updateOutputInformation()
```
    Specified by:
    
    updateOutputInformation in class AbstractTerminationCriterion