コード例 #1
0
        private static List <List <double> > evaluateFitness(Plot plot, ApartmentGeneratorBase ag, Target target, List <ParameterSet> gene, double fitnessFactor, bool previewOn)
        {
            List <List <double> > result          = new List <List <double> >();
            List <double>         grossAreaRatio  = new List <double>();
            List <double>         parkinglotRatio = new List <double>();
            List <double>         targetAccuracy  = new List <double>();
            List <double>         axisAccuracy    = new List <double>();
            bool drawSomeThing = false;
            int  i             = 0;

            var timer = new System.Threading.Timer((e) =>
            {
                drawSomeThing = true;
            }
                                                   , drawSomeThing, TimeSpan.Zero, TimeSpan.FromMilliseconds(1000));

            List <Apartment> agOutToDrawList          = new List <Apartment>();
            List <double>    agOutToDrawGrossAreaList = new List <double>();

            for (i = 0; i < gene.Count(); i++)
            {
                Apartment tempOutput = ag.generator(plot, gene[i], target);

                grossAreaRatio.Add(tempOutput.GetGrossAreaRatio());
                //targetAccuracy.Add(tempOutput.GetTargetAccuracy());
                parkinglotRatio.Add(tempOutput.GetParkingScore());
                axisAccuracy.Add(tempOutput.GetAxisAccuracy());
                TuringAndCorbusierPlugIn.InstanceClass.page3.currentProgressFactor += 1;
                TuringAndCorbusierPlugIn.InstanceClass.page3.updateProGressBar(TuringAndCorbusierPlugIn.InstanceClass.page3.currentProgressFactor.ToString() + "/" + TuringAndCorbusierPlugIn.InstanceClass.page3.currentWorkQuantity.ToString() + " 진행중");

                if (previewOn)
                {
                    agOutToDrawList.Add(tempOutput);
                    //agOutToDrawGrossAreaList.Add(tempOutput.GetGrossAreaRatio());

                    if (drawSomeThing)
                    {
                        TuringAndCorbusierPlugIn.InstanceClass.page3.preview(agOutToDrawList.Last());
                        Rhino.RhinoDoc.ActiveDoc.Views.Redraw();
                        Rhino.RhinoApp.Wait();

                        agOutToDrawList.Clear();
                        agOutToDrawGrossAreaList.Clear();
                        drawSomeThing = false;
                    }
                }
            }

            double MaxFAR = TuringAndCorbusierPlugIn.InstanceClass.page1Settings.MaxFloorAreaRatio;

            //법정 용적률에 근접한 유전자가 가장 높은 값 받음,
            // -0 ~ -5 최대값 받음
            //넘어가면 * 0.01 포인트 마이너스
            //낮으면 *0.1포인트 마이너스

            List <double> points = new List <double>();

            for (int r = 0; r < grossAreaRatio.Count; r++)
            {
                double point = 0;
                if (grossAreaRatio[r] < MaxFAR && grossAreaRatio[r] > MaxFAR - 5)
                {
                    point = 1 + (5 - (MaxFAR - grossAreaRatio[r])) / MaxFAR;
                }
                else if (grossAreaRatio[r] > MaxFAR)
                {
                    point = 1 - (grossAreaRatio[r] - MaxFAR) / MaxFAR / 10;
                }
                else
                {
                    point = 1 - (MaxFAR - grossAreaRatio[r]) / MaxFAR;
                }
                points.Add(point);
            }

            List <double>      tempGAR = new List <double>(grossAreaRatio);
            RhinoList <double> FARList = new RhinoList <double>(tempGAR);

            //FARList.Sort(points.ToArray());
            //points.Sort();

            double        Cworst  = FARList.First;
            double        Cbest   = FARList.Last;
            double        k       = fitnessFactor;
            List <double> fitness = new List <double>();
            //double Cworst = tempGAR[0];
            //double Cbest = tempGAR[gene.Count - 1];
            //double k = fitnessFactor;
            //List<double> fitness = new List<double>();

            double parkingWeight = 0.3;
            double CworstR       = parkinglotRatio.Min();
            double CbestR        = parkinglotRatio.Max();


            double targetWeight = 0.4;

            //double CworstT = targetAccuracy.Min();
            //double CbestT = targetAccuracy.Max();

            //fitnessvalue rate
            //연면적 1 : 주차율(?) 0.3 : 유닛정확도 : 0.4


            //for test
            //string url = @"C://Users//user//Desktop//test";
            //System.IO.DirectoryInfo dinfo = new System.IO.DirectoryInfo(url);


            //string filename = "//garojutacklogV2" + (dinfo.GetFiles().Length + 1).ToString() + ".csv";
            //System.IO.FileStream fs = new System.IO.FileStream(url + filename, System.IO.FileMode.CreateNew);
            //fs.Close();
            //fs.Dispose();
            //System.IO.StreamWriter w = new System.IO.StreamWriter(fs.Name);
            //string column = "FAR" + "," + "Floors" + "," + "FARPoint" + "," + "ParkingPoint" + "," + "AxisPoint" + "," + "Sum" + "," + "Use1F" + ",UseSetback";
            //w.WriteLine(column);
            for (int j = 0; j < gene.Count; j++)
            {
                double farfitnessVal      = points[j] * 10;
                double parkkingfitnessVal = parkinglotRatio[j];
                double axisfitnessVal     = axisAccuracy[j];

                //double farfitnessVal = ((grossAreaRatio[j] - Cbest) * (k - 1) / k + (Cbest - Cworst) + 0.01) / (Cbest - Cworst + 0.01);
                //double parkingval = ((parkinglotRatio[j] - CbestR) * (k - 1) / k + (CbestR - CworstR) + 0.01) / (CbestR - CworstR + 0.01) * parkingWeight;
                //double targetval = ((targetAccuracy[j] - CbestT) * (k - 1) / k + (CbestT - CworstT) + 0.01) / (CbestT - CworstT + 0.01) * targetWeight;

                //firstfloor test
                double firstfloorBonus = 0;
                //if (gene[j].using1F)
                //    firstfloorBonus = 1000;
                //setback test
                double setbackBonus = 0;
                //if (gene[j].setback)
                //    setbackBonus = 1000;
                fitness.Add(farfitnessVal + parkkingfitnessVal + axisfitnessVal + setbackBonus + firstfloorBonus);
                //for test

                //string format = grossAreaRatio[j].ToString() + "," + gene[j].Stories + "," + farfitnessVal + "," + parkkingfitnessVal + "," + axisfitnessVal + "," + (farfitnessVal + parkkingfitnessVal + axisfitnessVal).ToString() + "," + gene[j].using1F.ToString() + "," + gene[j].setback.ToString();

                //w.WriteLine(format);
            }
            //for test
            //w.Close();
            //w.Dispose();


            //tempGAR.Reverse();

            //fitness.Reverse();
            //FARList.Reverse();

            result.Add(fitness);
            result.Add(FARList.Select(n => n).ToList());

            double maxfar     = FARList.Max();
            double maxfitness = fitness.Max();

            TuringAndCorbusierPlugIn.InstanceClass.page3.updateProGressBar(TuringAndCorbusierPlugIn.InstanceClass.page3.currentProgressFactor.ToString() + "/" + TuringAndCorbusierPlugIn.InstanceClass.page3.currentWorkQuantity.ToString() + " 완료");


            return(result);

            //or, return nested list, containing gross area ratio.
        }