public void Load(GCPData data)
{
Encoding.Length = data.Nodes;
AdjacencyListParameter.Value = new IntMatrix(data.Adjacencies);
if (data.BestKnownColoring != null)
{
var colors = data.BestKnownColoring.Distinct().Count();
BestKnownColorsParameter.Value = new IntValue(colors);
if (FitnessFunction == FitnessFunction.Prioritized)
{
var mag = Math.Pow(10, -(int)Math.Ceiling(Math.Log10(data.Nodes)));
BestKnownQuality = colors * mag;
}
else
{
var nodesPerColor = data.BestKnownColoring.GroupBy(x => x).Select(x => x.Count());
BestKnownQuality = -nodesPerColor.Sum(x => x * x);
}
}
else if (data.BestKnownColors.HasValue)
{
BestKnownColorsParameter.Value = new IntValue(data.BestKnownColors.Value);
if (FitnessFunction == FitnessFunction.Prioritized)
{
var mag = Math.Pow(10, -(int)Math.Ceiling(Math.Log10(data.Nodes)));
// the value is e.g. 0.051 for 0 conflicts with 51 colors (and less than 1000 nodes)
BestKnownQuality = data.BestKnownColors.Value * mag;
}
else
{
BestKnownQualityParameter.Value = null;
}
}
else
{
BestKnownColorsParameter.Value = null;
BestKnownQualityParameter.Value = null;
}
Name = data.Name;
Description = data.Description;
OnReset();
}
public GCPData Export()
{
var instance = new GCPData();
instance.Name = Name;
instance.Description = Description;
instance.Nodes = Encoding.Length;
var adjList = AdjacencyListParameter.Value;
instance.Adjacencies = new int[adjList.Rows, 2];
for (var r = 0; r < adjList.Rows; r++)
{
instance.Adjacencies[r, 0] = adjList[r, 0];
instance.Adjacencies[r, 1] = adjList[r, 1];
}
if (BestKnownColorsParameter.Value != null)
{
instance.BestKnownColors = BestKnownColorsParameter.Value.Value;
}
return(instance);
}
