public override IOperation Apply()
{
ItemArray <SymbolicExpressionTree> expressions = SymbolicExpressionTreeParameter.ActualValue;
ItemArray <DoubleValue> qualities = QualityParameter.ActualValue;
BoolMatrix world = WorldParameter.ActualValue;
IntValue maxTimeSteps = MaxTimeStepsParameter.ActualValue;
ResultCollection results = ResultsParameter.ActualValue;
int i = qualities.Select((x, index) => new { index, x.Value }).OrderBy(x => - x.Value).First().index;
AntTrail antTrail = BestSolutionParameter.ActualValue;
if (antTrail == null)
{
var bestAntTrail = new AntTrail(world, expressions[i], maxTimeSteps);
BestSolutionParameter.ActualValue = bestAntTrail;
results.Add(new Result("Best Artificial Ant Solution", bestAntTrail));
}
else
{
antTrail.World = world;
antTrail.SymbolicExpressionTree = expressions[i];
antTrail.MaxTimeSteps = maxTimeSteps;
results["Best Artificial Ant Solution"].Value = antTrail;
}
return(base.Apply());
}
public override IOperation Apply() {
ItemArray<SymbolicExpressionTree> expressions = SymbolicExpressionTreeParameter.ActualValue;
ItemArray<DoubleValue> qualities = QualityParameter.ActualValue;
BoolMatrix world = WorldParameter.ActualValue;
IntValue maxTimeSteps = MaxTimeStepsParameter.ActualValue;
ResultCollection results = ResultsParameter.ActualValue;
int i = qualities.Select((x, index) => new { index, x.Value }).OrderBy(x => -x.Value).First().index;
AntTrail antTrail = BestSolutionParameter.ActualValue;
if (antTrail == null) {
var bestAntTrail = new AntTrail(world, expressions[i], maxTimeSteps);
BestSolutionParameter.ActualValue = bestAntTrail;
results.Add(new Result("Best Artificial Ant Solution", bestAntTrail));
} else {
antTrail.World = world;
antTrail.SymbolicExpressionTree = expressions[i];
antTrail.MaxTimeSteps = maxTimeSteps;
results["Best Artificial Ant Solution"].Value = antTrail;
}
return base.Apply();
}
