private const float PARALLEL_POSITION_OFFSET = 25; // how far off from the origin are these people swinging
// Called when the user clicks the "Begin Simulation" button
// Processes the input
public void BeginComplexSimulation()
{
// Get numbers from the input fields
try
{
numAgents = int.Parse(numAgentsInput.text);
holeDist = float.Parse(holeDistInput.text);
holeDistRand = float.Parse(holeDistRandInput.text);
timePerGen = float.Parse(timePerGenInput.text);
crossoverProb = float.Parse(crossoverProbInput.text);
mutationProb = float.Parse(mutationProbInput.text);
numGens = int.Parse(numGensInput.text);
numElites = int.Parse(elitismInput.text);
if (mutationProb < 0 || mutationProb > 1 || crossoverProb < 0 || crossoverProb > 1)
{
Debug.LogWarning("Crossover and mutation values should be between 0 and 1!");
return;
}
if (numAgents < 0 || holeDist < 0 || holeDistRand < 0 || timePerGen < 0 || numGens < 0)
{
Debug.LogWarning("None of these numbers should be negative!");
return;
}
}
catch
{
Debug.LogWarning("Only numbers are allowed in the input fields!");
return;
}
// Get the values from the dropdown options
fitnessFunc = (GolferSettings.Fitness)fitnessDropdown.value;
moveableJoints = (GolferSettings.MoveableJointsExtent)jointsDropdown.value;
clubGrip = (GolferSettings.ClubGrip)gripDropdown.value;
// Create the GolferSettings object
settings = new GolferSettings(fitnessFunc, moveableJoints, clubGrip, holeDist);
// hide the main menu UI
menuUIParent.SetActive(false);
// display the simulation UI
simulationUI.SetActive(true);
// Begin the simulation coroutine
StartCoroutine(Simulate());
}
/* @author John Gansallo */
public void ExportCSV()
{
// get all the data needed for the filename
GeneticManager chrom1Manager = GetComponent <GeneticManager>();
int numGens = chrom1Manager.numGens;
int numAgents = chrom1Manager.numAgents;
GolferSettings.Fitness fitnessFunc = chrom1Manager.fitnessFunc;
GolferSettings.MoveableJointsExtent moveableJoints = chrom1Manager.moveableJoints;
GolferSettings.ClubGrip clubGrip = chrom1Manager.clubGrip;
float holeDist = chrom1Manager.holeDist;
float holeDistRand = chrom1Manager.holeDistRand;
float timePerGen = chrom1Manager.timePerGen;
float crossoverProb = chrom1Manager.crossoverProb;
float mutationProb = chrom1Manager.mutationProb;
int numElites = chrom1Manager.numElites;
// get the actual data for the csv
float[,] results1 = chrom1Manager.GetResults();
float[,] results2 = GetComponent <GeneticManager2>().GetResults();
float[,] results3 = GetComponent <GeneticManager3>().GetResults();
string filename = "numGens-" + numGens;
filename += "_fitness-" + (fitnessFunc == GolferSettings.Fitness.accuracy ? "accuracy" : "distance");
filename += "_jointsExtent-" + (moveableJoints == GolferSettings.MoveableJointsExtent.armsTorso ? "upperBody" : "fullBody");
filename += "_grip-" + (clubGrip == GolferSettings.ClubGrip.oneHand ? "1hand" : "2hand");
filename += "_numAgents-" + numAgents;
if (fitnessFunc == GolferSettings.Fitness.accuracy)
{
filename += "_holeDist-" + holeDist;
filename += "_holeRandOffset-" + holeDistRand;
}
filename += "_genTime-" + timePerGen;
filename += "_pc-" + crossoverProb;
filename += "_mc-" + mutationProb;
filename += "_elitism-" + numElites;
string path = Application.dataPath + @"/" + filename + ".csv";
if (!File.Exists(path))
{
// Create a file to write to.
using (StreamWriter gen = File.CreateText(path))
{
gen.WriteLine("Generation #,Chrom1 Best Fitness,Chrom1 Average Fitness,Chrom2 Best Fitness,Chrom2 Average Fitness,Chrom3 Best Fitness,Chrom3 Average Fitness");
for (int i = 0; i < results1.GetLength(0); i++)
{
float avgFit1 = 0;
float avgFit2 = 0;
float avgFit3 = 0;
float bestFit1 = Single.MinValue;
float bestFit2 = Single.MinValue;
float bestFit3 = Single.MinValue;
for (int j = 0; j < numAgents; j++)
{
avgFit1 += results1[i, j];
avgFit2 += results2[i, j];
avgFit3 += results3[i, j];
if (results1[i, j] > bestFit1)
{
bestFit1 = results1[i, j];
}
if (results2[i, j] > bestFit2)
{
bestFit2 = results2[i, j];
}
if (results3[i, j] > bestFit3)
{
bestFit3 = results3[i, j];
}
}
avgFit1 = avgFit1 / numAgents;
avgFit2 = avgFit2 / numAgents;
avgFit3 = avgFit3 / numAgents;
gen.WriteLine((i + 1).ToString() + "," + bestFit1 + "," + avgFit1 + "," + bestFit2 + "," + avgFit2 + "," + bestFit3 + "," + avgFit3);
}
}
}
}
