public override void Eval(IEvolutionState state, int thread, GPData input, ADFStack stack, GPIndividual individual, IProblem problem)
{
var cProblem = (ClassificationProblem)problem;
((ClassificationData)input).doubleVal = cProblem.CurrentParam[paramIndex];
((ClassificationData)input).index = (int)paramIndex;
}
public override void Eval(IEvolutionState state,
int thread,
GPData input,
ADFStack stack,
GPIndividual individual,
IProblem problem)
{
var p = (Lawnmower)problem;
var d = (LawnmowerData)input;
switch (p.Orientation)
{
case Lawnmower.O_UP:
p.PosY--;
if (p.PosY < 0)
{
p.PosY = p.MaxY - 1;
}
break;
case Lawnmower.O_LEFT:
p.PosX--;
if (p.PosX < 0)
{
p.PosX = p.MaxX - 1;
}
break;
case Lawnmower.O_DOWN:
p.PosY++;
if (p.PosY >= p.MaxY)
{
p.PosY = 0;
}
break;
case Lawnmower.O_RIGHT:
p.PosX++;
if (p.PosX >= p.MaxX)
{
p.PosX = 0;
}
break;
default: // whoa!
state.Output.Fatal("Whoa, somehow I got a bad orientation! (" + p.Orientation + ")");
break;
}
p.Moves++;
if (p.Map[p.PosX][p.PosY] == Lawnmower.UNMOWED)
{
p.Sum++;
p.Map[p.PosX][p.PosY] = p.Moves;
}
// return [0,0]
d.x = 0;
d.y = 0;
}
public override void Eval(IEvolutionState state,
int thread,
GPData input,
ADFStack stack,
GPIndividual individual,
IProblem problem)
{
Children[0].Eval(state, thread, input, stack, individual, problem);
var md = (MajorityData)input;
long y0 = md.Data0;
long y1 = md.Data1;
Children[1].Eval(state, thread, input, stack, individual, problem);
long z0 = md.Data0;
long z1 = md.Data1;
Children[2].Eval(state, thread, input, stack, individual, problem);
// IF Y THEN Z ELSE MD is
// (Y -> Z) ^ (~Y -> MD)
// (!Y v Z) ^ (Y v MD)
md.Data0 = (~y0 | z0) & (y0 | md.Data0);
md.Data1 = (~y1 | z1) & (y1 | md.Data1);
}
public override void Eval(IEvolutionState state, int thread, GPData input, ADFStack stack, GPIndividual individual, IProblem problem)
{
var p = (FeatureExtractionProblem2)problem;
Children[0].Eval(state, thread, input, stack, individual, problem);
p.currentImage[thread] = p.currentImage[thread].Mul(p.currentImage[thread]);
}
public override void Eval(
IEvolutionState state,
int thread,
GPData input,
ADFStack stack,
GPIndividual individual,
IProblem problem)
{
var p = (Ant)problem;
switch (p.Orientation)
{
case Ant.O_UP:
p.Orientation = Ant.O_RIGHT;
break;
case Ant.O_LEFT:
p.Orientation = Ant.O_UP;
break;
case Ant.O_DOWN:
p.Orientation = Ant.O_LEFT;
break;
case Ant.O_RIGHT:
p.Orientation = Ant.O_DOWN;
break;
default: // whoa!
state.Output.Fatal("Whoa, somehow I got a bad orientation! (" + p.Orientation + ")");
break;
}
p.Moves++;
}
public override void Eval(IEvolutionState state,
int thread,
GPData input,
ADFStack stack,
GPIndividual individual,
IProblem problem)
{
var edge = ((EdgeData)(input)).edge;
var prob = (Edge)problem;
if (prob.From.Length == prob.NumEdges) // we're full, need to expand
{
var from_ = new int[prob.NumEdges * 2];
var to_ = new int[prob.NumEdges * 2];
var reading_ = new int[prob.NumEdges * 2];
Array.Copy(prob.From, 0, from_, 0, prob.From.Length);
Array.Copy(prob.To, 0, to_, 0, prob.To.Length);
Array.Copy(prob.Reading, 0, reading_, 0, prob.Reading.Length);
prob.From = from_;
prob.To = to_;
prob.Reading = reading_;
}
if (prob.Start.Length == prob.NumNodes) // we're full, need to expand
{
var start_ = new bool[prob.NumNodes * 2];
var accept_ = new bool[prob.NumNodes * 2];
Array.Copy(prob.Start, 0, start_, 0, prob.Start.Length);
Array.Copy(prob.Accept, 0, accept_, 0, prob.Accept.Length);
prob.Start = start_;
prob.Accept = accept_;
}
var newedge = prob.NumEdges;
prob.NumEdges++;
var newnode = prob.NumNodes;
prob.NumNodes++;
// set up new node
prob.Accept[newnode] = false;
prob.Start[newnode] = false;
// set up new edge
prob.From[newedge] = prob.To[edge];
prob.To[newedge] = newnode;
prob.Reading[newedge] = prob.Reading[edge];
// pass the original edge down the left child
Children[0].Eval(state, thread, input, stack, individual, problem);
// reset input for right child
((EdgeData)(input)).edge = newedge;
// pass the new edge down the right child
Children[1].Eval(state, thread, input, stack, individual, problem);
}
public override void Eval(IEvolutionState state,
int thread,
GPData input,
ADFStack stack,
GPIndividual individual,
IProblem problem)
{
var md = (MultiplexerData)input;
Children[0].Eval(state, thread, input, stack, individual, problem);
if (md.Status == MultiplexerData.STATUS_3)
{
md.Dat3 = (byte)(md.Dat3 ^ -1); // BRS: this was originally "md.dat_3 ^= -1;"
}
else if (md.Status == MultiplexerData.STATUS_6)
{
md.Dat6 ^= -1L;
}
else // md.status == MultiplexerData.STATUS_11
{
for (var x = 0; x < MultiplexerData.MULTI_11_NUM_BITSTRINGS; x++)
{
md.Dat11[x] ^= -1L;
}
}
}
public override void CopyTo(GPData gpd)
{
var d = (LawnmowerData)gpd;
d.x = x;
d.y = y;
}
/// <summary>
/// Just like eval, but it retraces the map and prints out info.
/// </summary>
public void EvalPrint(IEvolutionState state, int thread, GPData input, ADFStack stack, GPIndividual individual, IProblem problem, int[][] map2)
{
var p = (Ant)problem;
switch (p.Orientation)
{
case Ant.O_UP:
p.PosY--;
if (p.PosY < 0)
{
p.PosY = p.MaxY - 1;
}
break;
case Ant.O_LEFT:
p.PosX--;
if (p.PosX < 0)
{
p.PosX = p.MaxX - 1;
}
break;
case Ant.O_DOWN:
p.PosY++;
if (p.PosY >= p.MaxY)
{
p.PosY = 0;
}
break;
case Ant.O_RIGHT:
p.PosX++;
if (p.PosX >= p.MaxX)
{
p.PosX = 0;
}
break;
default: // whoa!
state.Output.Fatal("Whoa, somehow I got a bad orientation! (" + p.Orientation + ")");
break;
}
p.Moves++;
if (p.Map[p.PosX][p.PosY] == Ant.FOOD && p.Moves < p.MaxMoves)
{
p.Sum++;
p.Map[p.PosX][p.PosY] = Ant.ATE;
}
if (p.Moves < p.MaxMoves)
{
if (++p.PMod > 122 /* ascii z */)
{
p.PMod = 97; /* ascii a */
}
map2[p.PosX][p.PosY] = p.PMod;
}
}
public override void Eval(IEvolutionState state, int thread, GPData input, ADFStack stack, GPIndividual individual, IProblem problem)
{
var image = ((FeatureExtractionProblem)problem).currentImage[thread];
var transformer = ((FeatureExtractionProblem)problem).imageTransformer;
transformer.TransformImage(image, (Image.ImageTransformer.TransformationType)morphType);
Children[0].Eval(state, thread, input, stack, individual, problem);
}
public override void Eval(IEvolutionState state, int thread, GPData input, ADFStack stack, GPIndividual individual, IProblem problem)
{
var p = (FeatureExtractionProblem2)problem;
Children[0].Eval(state, thread, input, stack, individual, problem);
p.imageTransformer.TransformImage(p.currentImage[thread], Image.ImageTransformer.TransformationType.GAUSSIAN3);
p.imageTransformer.TransformImage(p.currentImage[thread], Image.ImageTransformer.TransformationType.GAUSSIAN5);
}
public override void Eval(IEvolutionState state,
int thread,
GPData input,
ADFStack stack,
GPIndividual individual,
IProblem problem)
{
}
private void customselect_Load(object sender, EventArgs e)
{
GPData.customergetter();
foreach (customer cc in GPData.custnames)
{
comboBox1.Items.Add(cc.Name);
}
}
public override void Eval(IEvolutionState state,
int thread,
GPData input,
ADFStack stack,
GPIndividual individual,
IProblem problem)
{
((MultiplexerData)input).x = (((Multiplexer)problem).addressPart >> 0) & 1;
}
public override void Eval(IEvolutionState state,
int thread,
GPData input,
ADFStack stack,
GPIndividual individual,
IProblem problem)
{
// No need to evaluate or look at children.
}
public override void Eval(IEvolutionState state,
int thread,
GPData input,
ADFStack stack,
GPIndividual individual,
IProblem problem)
{
// no need to do anything here
}
public override void Eval(IEvolutionState state,
int thread,
GPData input,
ADFStack stack,
GPIndividual individual,
IProblem problem)
{
((ParityData)input).x =
((((Parity)problem).bits >> 31) & 1);
}
private void priceGroupBox_SelectedIndexChanged(object sender, EventArgs e)
{
List <Item> stuff = GPData.getItems(priceGroupBox.Text);
itemList.Items.Clear();
foreach (Item i in stuff)
{
itemList.Items.Add(i.ToString());
}
}
public override void Eval(IEvolutionState state,
int thread,
GPData input,
ADFStack stack,
GPIndividual individual,
IProblem problem)
{
Children[0].Eval(state, thread, input, stack, individual, problem);
((MultiplexerData)input).x ^= 1;
}
public override void Eval(IEvolutionState state,
int thread,
GPData input,
ADFStack stack,
GPIndividual individual,
IProblem problem)
{
var rd = ((DoubleData)(input));
rd.x = ((MultiValuedRegression)problem).currentX;
}
public override void Eval(IEvolutionState state, int thread, GPData input, ADFStack stack, GPIndividual individual, IProblem problem)
{
index = ((ClassificationData)input).index;
var minVal = ((MultiClassifierProblem)problem).Dataset.MinValues[index];
var maxVal = ((MultiClassifierProblem)problem).Dataset.MaxValues[index];
printedValue = Math.Round(minVal + (maxVal - minVal) * value);
//if (val == maxVal)
// val = -1;
((ClassificationData)input).doubleVal = printedValue;
}
public override void Eval(IEvolutionState state,
int thread,
GPData input,
ADFStack stack,
GPIndividual individual,
IProblem problem)
{
var rd = (RegressionData)input;
rd.x = ((Regression)problem).CurrentValue;
}
public void EvalPrint(
IEvolutionState state,
int thread,
GPData input,
ADFStack stack,
GPIndividual individual,
IProblem problem,
int[][] map2)
{
Eval(state, thread, input, stack, individual, problem);
}
public override void CopyTo(GPData gpd)
{
var md = ((MultiplexerData)gpd);
for (var x = 0; x < MULTI_11_NUM_BITSTRINGS; x++)
{
md.Dat11[x] = Dat11[x];
}
md.Dat6 = Dat6;
md.Status = Status;
}
public override void Eval(IEvolutionState state,
int thread,
GPData input,
ADFStack stack,
GPIndividual individual,
IProblem problem)
{
// Evaluate both children. Return the second one (done automagically).
Children[0].Eval(state, thread, input, stack, individual, problem);
Children[1].Eval(state, thread, input, stack, individual, problem);
}
public override void Eval(IEvolutionState state,
int thread,
GPData input,
ADFStack stack,
GPIndividual individual,
IProblem problem)
{
var rd = ((RegressionData)(input));
Children[0].Eval(state, thread, input, stack, individual, problem);
rd.x = rd.x * rd.x;
}
public override void Eval(IEvolutionState state,
int thread,
GPData input,
ADFStack stack,
GPIndividual individual,
IProblem problem)
{
var rd = ((TwoBoxData)input);
var tb = ((TwoBox)problem);
rd.x = tb.inputsh0[tb.currentIndex];
}
public override void Eval(IEvolutionState state,
int thread,
GPData input,
ADFStack stack,
GPIndividual individual,
IProblem problem)
{
var edge = ((EdgeData)(input)).edge;
var prob = (Edge)problem;
prob.Reading[edge] = Edge.EPSILON;
}
public override void eval(ec.EvolutionState state,
int thread,
GPData input,
ADFStack stack,
GPIndividual individual,
Problem problem)
{
UnityProblem p = (UnityProblem)problem;
GameObject ball = p.model.ball.gameObject;
GameObject car = p.model.car.gameObject;
((RegressionData)input).x = Vector3.Distance(ball.transform.position, car.transform.position);
}
public override void Eval(IEvolutionState state,
int thread,
GPData input,
ADFStack stack,
GPIndividual individual,
IProblem problem)
{
var md = (MultiplexerData)input;
long[] dat_11 = null; // quiets compiler complaints
long dat_6 = 0L;
byte dat_3 = 0;
// No shortcuts for now
Children[0].Eval(state, thread, input, stack, individual, problem);
if (md.Status == MultiplexerData.STATUS_3)
{
dat_3 = md.Dat3;
}
else if (md.Status == MultiplexerData.STATUS_6)
{
dat_6 = md.Dat6;
}
else // md.status == MultiplexerData.STATUS_11
{
dat_11 = md.PopDat11();
Array.Copy(md.Dat11, 0,
dat_11, 0,
MultiplexerData.MULTI_11_NUM_BITSTRINGS);
}
Children[1].Eval(state, thread, input, stack, individual, problem);
// modify
if (md.Status == MultiplexerData.STATUS_3)
{
md.Dat3 |= dat_3;
}
else if (md.Status == MultiplexerData.STATUS_6)
{
md.Dat6 |= dat_6;
}
else // md.status == MultiplexerData.STATUS_11
{
for (int x = 0; x < MultiplexerData.MULTI_11_NUM_BITSTRINGS; x++)
{
md.Dat11[x] |= dat_11[x];
}
md.PushDat11(dat_11);
}
}
public override void Eval(IEvolutionState state,
int thread,
GPData input,
ADFStack stack,
GPIndividual individual,
IProblem problem)
{
var md = (MajorityData)input;
md.Data0 = X0;
md.Data1 = X1;
}
