public void Execute( )
{
RiverSystemScenario testScenario;
RiverSystemProject testProject;
TestHelperRiverSystem.getAPreconfiguredTestScenarioWithAWBM(3, out testProject,
out testScenario);
IObjectiveEvaluator <MetaParameterSet> evaluator = buildNewEvaluator(testScenario);
ICandidateFactory <MetaParameterSet> candidateFactory = new LumpedAWBMFactory(testScenario, new BasicRngFactory(123));
int pSetNumber = 5;
IObjectiveScores[] scores = new IObjectiveScores[pSetNumber];
ISystemConfiguration[] pSets = new ISystemConfiguration[pSetNumber];
int k = 0;
foreach (Catchment c in testScenario.Network.catchmentList)
{
foreach (StandardFunctionalUnit fu in c.FunctionalUnits)
{
var list = AccessorMemberInfo.GetFieldsAndPropertiesList(fu.rainfallRunoffModel.GetType(), typeof(double), typeof(ParameterAttribute));
foreach (MemberInfo m in list)
{
string metaParameterName = "$tag" + k++;
UpdateFunctionBuilder.CreateMetaParameter(testScenario, metaParameterName);
UpdateFunctionBuilder.CreateUpdateFunctionWithLinkToMetaParameter(testScenario, metaParameterName, m, fu.rainfallRunoffModel);
}
}
}
for (int i = 0; i < scores.Length; i++)
{
pSets[i] = candidateFactory.CreateRandomCandidate();
//Do we need to reset the model states??
scores[i] = evaluator.EvaluateScore((MetaParameterSet)pSets[i]);
//print Params after each iteration
LumpedAWBMFactory.printPrams(testScenario, pSets[i]);
}
IObjectiveScores[] paretoScores = ParetoRanking <IObjectiveScores> .GetParetoFront(scores);
SourceUtility.PrintObjScores(scores);
Console.WriteLine("----------------------------------------");
SourceUtility.PrintObjScores(paretoScores);
}
public void Execute(string modelRunDefnFile, string modelOutputName, string runoffToMatchFile)
{
setRandSeed( );
var evaluator = ProblemDefinitionHelper.BuildEvaluator(modelRunDefnFile, modelOutputName, runoffToMatchFile);
var candidateFactory = buildCandidateFactory(ProblemDefinitionHelper.BuildSystem(modelRunDefnFile, "runoff").Model);
var scores = new IObjectiveScores[1000];
var pSets = new ICloneableSystemConfiguration[1000];
for (int i = 0; i < scores.Length; i++)
{
pSets[i] = candidateFactory.CreateRandomCandidate( );
scores[i] = evaluator.EvaluateScore(pSets[i]);
}
IObjectiveScores[] paretoScores = ParetoRanking <IObjectiveScores> .GetParetoFront(scores);
printSummary(scores);
Console.ReadLine( );
}
public void Execute( )
{
RiverSystemScenario testScenario;
RiverSystemProject testProject;
TestHelperRiverSystem.getAPreconfiguredTestScenarioWithAWBM( 3, out testProject,
out testScenario );
IObjectiveEvaluator<MetaParameterSet> evaluator = buildNewEvaluator( testScenario );
//ICandidateFactory<MetaParameterSet> candidateFactory = new LumpedAWBMFactory( testScenario, new BasicRngFactory(123) );
var evolutionEngine = new CSIRO.Metaheuristics.Optimization.ShuffledComplexEvolution<MetaParameterSet>( );
IObjectiveScores[] paretoScores = ParetoRanking<IObjectiveScores>.GetParetoFront( scores );
SourceUtility.PrintObjScores( scores );
Console.WriteLine("----------------------------------------");
SourceUtility.PrintObjScores( paretoScores );
}