private void Equal_Button_Clicked(object sender, EventArgs e)
{
if (currentOperatorSelected == "Divide")
{
MathematicalOperations mathOperations = new MathematicalOperations();
finalResult = mathOperations.Divide(listOfNumbers);
OperationValueSetter("Final Result : " + finalResult, true);
}
else if (currentOperatorSelected == "Multiply")
{
MathematicalOperations mathOperations = new MathematicalOperations();
finalResult = mathOperations.Multiply(listOfNumbers);
OperationValueSetter("Final Result : " + finalResult, true);
}
else if (currentOperatorSelected == "Addition")
{
MathematicalOperations mathOperations = new MathematicalOperations();
finalResult = mathOperations.Addition(listOfNumbers);
OperationValueSetter("Final Result : " + finalResult, true);
}
isOperatorSelected = false;
isDecimalClicked = false;
currentOperatorSelected = null;
decimalValues = null;
listOfNumbers.Clear();
}
public Software()
{
/*
* Initializes a software system with random values.
* The order of the CompleteChromosome matters.
* It is the following:
* 1) MoveTowardsEnd chromosome
* 2) MoveAwayFromEnd chromosome
* 3) MoveToPassableTerrain chromosome
* 4) MoveToNonPassableTerrain chromosome
* 5) SpendTheLessEnergy chromosome
* 6) SpendTheMostEnergy chromosome
* 7) SpendNormalEnergy chromosome
*/
var minValue = Constants.GenotypeMinvalue;
var maxValue = Constants.GenotypeMaxValue;
MoveTowardsEnd = MathematicalOperations.RandomIntegerInRange(minValue, maxValue);
var moveTowardsEndChromosome = MathematicalOperations.ConvertIntToBinaryString(MoveTowardsEnd);
MoveAwayFromEnd = (Constants.GenotypeMaxValue - 1) - MoveTowardsEnd;
MoveToPassableTerrain = MathematicalOperations.RandomIntegerInRange(minValue, maxValue);
var moveToPassableTerrainChromosome = MathematicalOperations.ConvertIntToBinaryString(MoveToPassableTerrain);
MoveToNonPassableTerrain = (Constants.GenotypeMaxValue - 1) - MoveToPassableTerrain;
SpendTheLessEnergy = MathematicalOperations.RandomIntegerInRange(minValue, maxValue);
var spendTheLessEnergyChromosome = MathematicalOperations.ConvertIntToBinaryString(SpendTheLessEnergy);
SpendTheMostEnergy = (Constants.GenotypeMaxValue - 1) - SpendTheLessEnergy;
SpendNormalEnergy = MathematicalOperations.RandomIntegerInRange(minValue, maxValue);
var spendNormalEnergyChromosome = MathematicalOperations.ConvertIntToBinaryString(SpendNormalEnergy);
CompleteChromosome = moveTowardsEndChromosome + moveToPassableTerrainChromosome + spendTheLessEnergyChromosome + spendNormalEnergyChromosome;
}
void Awake()
{
//Init Game
Debug.LogError("Change this Script for your own Script");
if (instance == null)
{
instance = this;
}
}
private void SetGenotypes()
{
string batteryChromosome = CompleteChromosome.Substring(0, Constants.ChromosomeSize);
string cameraChromosome =
CompleteChromosome.Substring(Constants.ChromosomeSize, Constants.ChromosomeSize);
string engineChromosome =
CompleteChromosome.Substring(2 * Constants.ChromosomeSize, Constants.ChromosomeSize);
BatteryGenotype = MathematicalOperations.ConvertBinaryStringToInt(batteryChromosome);
CameraGenotype = MathematicalOperations.ConvertBinaryStringToInt(cameraChromosome);
EngineGenotype = MathematicalOperations.ConvertBinaryStringToInt(engineChromosome);
}
private static HardwareModel GenerateHardwareModel(Hardware pHardware)
{
HardwareModel model = new HardwareModel
{
CameraRange = pHardware.Camera.Range,
CameraGenotype = pHardware.CameraGenotype,
CameraChromosome = MathematicalOperations.ConvertIntToBinaryString(pHardware.CameraGenotype),
EngineCapacity = pHardware.Engine.MaxTerrainDifficulty,
EngineGenotype = pHardware.EngineGenotype,
EngineChromosome = MathematicalOperations.ConvertIntToBinaryString(pHardware.EngineGenotype),
BatteryEnergy = pHardware.Battery.Energy,
BatteryGenotype = pHardware.BatteryGenotype,
BatteryChromosome = MathematicalOperations.ConvertIntToBinaryString(pHardware.BatteryGenotype)
};
return(model);
}
public Hardware()
{
/*
* Initializes a hardware system with random initial values.
*/
CameraGenotype = MathematicalOperations.RandomIntegerInRange(Constants.GenotypeMinvalue, Constants.GenotypeMaxValue);
BatteryGenotype = MathematicalOperations.RandomIntegerInRange(Constants.GenotypeMinvalue, Constants.GenotypeMaxValue);;
EngineGenotype = MathematicalOperations.RandomIntegerInRange(Constants.GenotypeMinvalue, Constants.GenotypeMaxValue);;
string batteryChromosome = MathematicalOperations.ConvertIntToBinaryString(BatteryGenotype);
string cameraChromosome = MathematicalOperations.ConvertIntToBinaryString(CameraGenotype);
string engineChromosome = MathematicalOperations.ConvertIntToBinaryString(EngineGenotype);
// IMPORTANT: The order of the chromosomes in the complete chromosome must stay the same !!!
CompleteChromosome = batteryChromosome + cameraChromosome + engineChromosome;
InitializeFields();
}
private static SoftwareModel GenerateSoftwareModel(Software pSoftware)
{
SoftwareModel model = new SoftwareModel
{
MoveTowardsEnd = pSoftware.MoveTowardsEnd,
MoveAwayFromEnd = pSoftware.MoveAwayFromEnd,
MoveToPassableTerrain = pSoftware.MoveToPassableTerrain,
MoveToNonPassableTerrain = pSoftware.MoveToNonPassableTerrain,
SpendTheLessEnergy = pSoftware.SpendTheLessEnergy,
SpendTheMostEnergy = pSoftware.SpendTheMostEnergy,
SpendNormalEnergy = pSoftware.SpendNormalEnergy,
MoveTowardsEndChromosome = MathematicalOperations.ConvertIntToBinaryString(pSoftware.MoveTowardsEnd),
MoveAwayFromEndChromosome = MathematicalOperations.ConvertIntToBinaryString(pSoftware.MoveAwayFromEnd),
MoveToPassableTerrainChromosome = MathematicalOperations.ConvertIntToBinaryString(pSoftware.MoveToPassableTerrain),
MoveToNonPassableTerrainChromosome = MathematicalOperations.ConvertIntToBinaryString(pSoftware.MoveToNonPassableTerrain),
SpendTheLessEnergyChromosome = MathematicalOperations.ConvertIntToBinaryString(pSoftware.SpendTheLessEnergy),
SpendTheMostEnergyChromosome = MathematicalOperations.ConvertIntToBinaryString(pSoftware.SpendTheMostEnergy),
SpendNormalEnergyChromosome = MathematicalOperations.ConvertIntToBinaryString(pSoftware.SpendNormalEnergy)
};
return(model);
}
private void SetGenotypes()
{
var moveTowardsEndChromosome =
CompleteChromosome.Substring(0, Constants.ChromosomeSize);
var moveToPassableTerrainChromosome =
CompleteChromosome.Substring(1 * Constants.ChromosomeSize, Constants.ChromosomeSize);
var spendTheLessEnergyChromosome =
CompleteChromosome.Substring(2 * Constants.ChromosomeSize, Constants.ChromosomeSize);
var spendNormalEnergyChromosome =
CompleteChromosome.Substring(3 * Constants.ChromosomeSize, Constants.ChromosomeSize);
MoveTowardsEnd = MathematicalOperations.ConvertBinaryStringToInt(moveTowardsEndChromosome);
MoveAwayFromEnd = (Constants.GenotypeMaxValue - 1) - MoveTowardsEnd;
MoveToPassableTerrain = MathematicalOperations.ConvertBinaryStringToInt(moveToPassableTerrainChromosome);
MoveToNonPassableTerrain = (Constants.GenotypeMaxValue - 1) - MoveToPassableTerrain;
SpendTheLessEnergy = MathematicalOperations.ConvertBinaryStringToInt(spendTheLessEnergyChromosome);
SpendTheMostEnergy = (Constants.GenotypeMaxValue - 1) - SpendTheLessEnergy;
SpendNormalEnergy = MathematicalOperations.ConvertBinaryStringToInt(spendNormalEnergyChromosome);
}
public int Subtract(int num1, int num2)
{
var result = MathematicalOperations.Subtract(num1, num2);
return(result);
}
public int Multiplication(int num1, int num2)
{
var result = MathematicalOperations.Multiply(num1, num2);
return(result);
}
public double Division(int num1, int num2)
{
var result = MathematicalOperations.Divide(num1, num2);
return(result);
}
public int Addition(int num1, int num2)
{
var result = MathematicalOperations.Add(num1, num2);
return(result);
}
