public OperatorControl(Operator @operator)
{
Orientation = Orientation.Horizontal;
Operator = @operator;
_checkBox = new CheckBox { Content = Operator.Name, Width = 50};
SliderWithValueText sliderWithValueText = new SliderWithValueText(190, 0, 100, 50);
_probabilitySlider = sliderWithValueText.Slider;
Children.Add(_checkBox);
Children.Add(sliderWithValueText);
}
public static FormulaGenerationArguments CreateRandom(Random random, Bounds<int> dimensionCountBounds, Bounds<int> minimalDepthBounds,
Bounds leafProbabilityBounds, Bounds constantProbabilityBounds, Bounds constantBounds, IDictionary<Operator, Bounds> operatorAndMaxProbabilityBoundsMap,
Operator[] obligatoryOperators, Bounds unaryVsBinaryOperatorsProbabilityBounds)
{
Dictionary<Operator, double> operatorAndProbabilityMap = operatorAndMaxProbabilityBoundsMap.ToDictionary(e => e.Key, e => random.Next(e.Value));
Operator[] unaryOperators = operatorAndMaxProbabilityBoundsMap.Keys.Where(op => op.Arity == 1).ToArray();
Operator[] binaryOperators = operatorAndMaxProbabilityBoundsMap.Keys.Where(op => op.Arity == 2).ToArray();
int unaryOperatorsToDeleteCount = random.Next(new Bounds<int>(0, unaryOperators.Length - 1));
int binaryOperatorsToDeleteCount = random.Next(new Bounds<int>(0, binaryOperators.Length - 1));
var unaryOperatorsToDelete = random.TakeDistinct(unaryOperators, unaryOperatorsToDeleteCount).Where(op => obligatoryOperators.All(o => o != op));
var binaryOperatorsToDelete = random.TakeDistinct(binaryOperators, binaryOperatorsToDeleteCount).Where(op => obligatoryOperators.All(o => o != op));
var operatorsToDelete = unaryOperatorsToDelete.Concat(binaryOperatorsToDelete);
foreach (var op in operatorsToDelete)
{
operatorAndProbabilityMap.Remove(op);
}
double ubp = random.Next(unaryVsBinaryOperatorsProbabilityBounds);
double ups = operatorAndProbabilityMap.Where(e => e.Key.Arity == 1).Sum(e => e.Value);
double bps = operatorAndProbabilityMap.Where(e => e.Key.Arity == 2).Sum(e => e.Value);
double correctionCoef = ubp / (1 - ubp) * bps / ups;
operatorAndProbabilityMap.Select(e => e.Key).Where(op => op.Arity == 1).ToArray().
ForEach(op => operatorAndProbabilityMap[op] *= correctionCoef);
return new FormulaGenerationArguments
{
DimensionsCount = random.Next(dimensionCountBounds),
MinimalDepth = random.Next(minimalDepthBounds),
LeafProbability = random.Next(leafProbabilityBounds),
ConstantProbability = random.Next(constantProbabilityBounds),
OperatorAndProbabilityMap = operatorAndProbabilityMap,
CreateConstant = () =>
{
double c = Math.Round(random.Next(constantBounds), 2);
return Math.Abs(c - 0) < 0.01 ? 0.01 : c;
}
};
}
private static string GetOpSymbolName(Operator op)
{
return op.Name;
}
private static string GetOpNodeSymbolName(Operator op)
{
return GetOpSymbolName(op) + "Node";
}
private static SymbolsSet<Operator> CreateSymbols(IEnumerable<Operator> operators)
{
List<string> nonTerminalsNames = new List<string>
{
"V", "C", "InfGuard", "RegOp2Operands", "OpOrOp0NodeOperands", "OpOrVNodeOperands", "OpOrVNode", "OpNode"
};
// Op0Node, Op1Node, ...
nonTerminalsNames.AddRange(GetOpArityNodeSymbolNames(operators));
// SumNode, SinNode, ...
nonTerminalsNames.AddRange(operators.Where(op => op.Arity > 0).Select(GetOpNodeSymbolName));
IEnumerable<Operator> terminalGuards = new Operator[] {OperatorsLibrary.Atan, OperatorsLibrary.Tanh, OperatorsLibrary.Sum, OperatorsLibrary.Abs};
IEnumerable<Symbol<Operator>> terminals = operators.Concat(terminalGuards).Distinct().Select(op => new Symbol<Operator>(op, GetOpSymbolName(op)));
IEnumerable<Symbol<Operator>> nonTerminals = nonTerminalsNames.Select(n => new Symbol<Operator>(n));
return new SymbolsSet<Operator> { terminals, nonTerminals };
}
