public float ComputeFitness2(Note[] individual, AForge.Math.Metrics.ISimilarity similarity)
{
float weighted = 0;
for (int i = 0; i < metrics.Length; i++)
{
var x = metrics[i].Generate(individual);
List<double> arr1 = new List<double>(individual.Length);
List<double> arr2 = new List<double>(individual.Length);
foreach (var k in target_metrics[i].Keys)
{
if (!x.ContainsKey(k))
{
arr1.Add(0);
arr2.Add(target_metrics[i][k]);
continue;
}
arr1.Add(x[k]);
arr2.Add(target_metrics[i][k]);
}
weighted += (float)similarity.GetSimilarityScore(arr1.ToArray(), arr2.ToArray());
}
return weighted / (float)metrics.Length;
}
