HyperNEATBoxes.TrialEvaluation.CalculateFitness C# (CSharp) Method

        public double CalculateFitness()
        {
            double threshold = BoxesScore.EDGE_LEN * BoxesScore.SQR_LEN;
            double rmsd = Math.Sqrt(this.AccDistance / 75.0);
            double fitness;
            if (rmsd > threshold)
            {
                fitness = 0.0;
            }
            else
            {
                fitness = (((threshold - rmsd) * 100.0) / threshold) + (this.AccRange / 7.5);
            }

            return fitness;
        }

        public double CalculateScore(IMLMethod phenotype)
        {
            BoxTrialCase    test = new BoxTrialCase(new Random());
            TrialEvaluation eval = new TrialEvaluation(phenotype, test);

            for (int i = 0; i < 3; i++)
            {
                for (int j = 0; j < 25; j++)
                {
                    IntPair targetPos = eval.Test.InitTestCase(i);
                    IntPair actualPos = eval.Query(this.resolution);

                    eval.Accumulate(
                        CalcRealDistanceSquared(targetPos, actualPos),
                        Math.Max(0.0, eval.MaxActivation - eval.MinActivation));
                }
            }

            return(eval.CalculateFitness());
        }