public override CellularAutomataRules Mutate(CellularAutomataRules ca, GeneticAlgorithmSettings settings)
{
var mutant = new CellularAutomataRules(ca);
int n = Util.RndUniformInt((int)(ca.Range * ca.NumStates * settings.MutationTemperature)) + 1;
for (int i = 0; i < n; i++)
{
int row = Util.RndUniformInt(ca.NumStates);
int col = Util.RndUniformInt(ca.Range);
mutant[col, row] = settings.StateTableDistribution.Next();
}
return(mutant);
}
public override CellularAutomataRules Mutate(CellularAutomataRules ca, GeneticAlgorithmSettings settings)
{
var mutant = new CellularAutomataRules(ca);
int n = Util.RndUniformInt((int)(ca.NumStates * settings.MutationTemperature)) + 1;
for (int i = 0; i < n; i++)
{
int rowSrc = Util.RndUniformInt(ca.NumStates);
int rowDest = rowSrc;
while (rowDest == rowSrc)
rowDest = Util.RndUniformInt(ca.NumStates);
for (int column = 0; column < ca.Range; column++)
mutant[column, rowDest] = mutant[column, rowSrc];
}
return mutant;
}
public override CellularAutomataRules Mutate(CellularAutomataRules ca, GeneticAlgorithmSettings settings)
{
var mutant = new CellularAutomataRules(ca);
int n = Util.RndUniformInt((int)(ca.Range * settings.MutationTemperature)) + 1;
for (int i = 0; i < n; i++)
{
int colSrc = Util.RndUniformInt(ca.Range);
int colDest = colSrc;
while (colDest == colSrc)
colDest = Util.RndUniformInt(ca.Range);
for (int row = 0; row < ca.NumStates; row++)
mutant[colDest, row] = mutant[colSrc, row];
}
return mutant;
}
public override CellularAutomataRules Mutate(CellularAutomataRules ca, GeneticAlgorithmSettings settings)
{
var mutant = new CellularAutomataRules(ca);
int n = Util.RndUniformInt((int)(10.0 * settings.MutationTemperature)) + 1;
for (int i = 0; i < n; i++)
{
int row, col;
int count = 0;
do
{
row = Util.RndUniformInt(ca.NumStates);
col = Util.RndUniformInt(ca.Range);
} while (mutant[col, row] == 0 && count++ < 20);
mutant[col, row] = 0;
}
return(mutant);
}
public override CellularAutomataRules Mutate(CellularAutomataRules ca, GeneticAlgorithmSettings settings)
{
var mutant = new CellularAutomataRules(ca);
int n = Util.RndUniformInt((int)(ca.Range * settings.MutationTemperature)) + 1;
for (int i = 0; i < n; i++)
{
int colSrc = Util.RndUniformInt(ca.Range);
int colDest = colSrc;
while (colDest == colSrc)
{
colDest = Util.RndUniformInt(ca.Range);
}
for (int row = 0; row < ca.NumStates; row++)
{
mutant[colDest, row] = mutant[colSrc, row];
}
}
return(mutant);
}
public override CellularAutomataRules Mutate(CellularAutomataRules ca, GeneticAlgorithmSettings settings)
{
var mutant = new CellularAutomataRules(ca);
int n = Util.RndUniformInt((int)(ca.NumStates * settings.MutationTemperature)) + 1;
for (int i = 0; i < n; i++)
{
int rowSrc = Util.RndUniformInt(ca.NumStates);
int rowDest = rowSrc;
while (rowDest == rowSrc)
{
rowDest = Util.RndUniformInt(ca.NumStates);
}
for (int column = 0; column < ca.Range; column++)
{
mutant[column, rowDest] = mutant[column, rowSrc];
}
}
return(mutant);
}
public GeneticAlgorithmState()
{
_settingsCa = new CellularAutomataSettings(7);
_settingsGa = new GeneticAlgorithmSettings(7);
}
public GeneticAlgorithmState()
{
_settingsCa = new CellularAutomataSettings(7);
_settingsGa = new GeneticAlgorithmSettings(7);
}
public override CellularAutomataRules Mutate(CellularAutomataRules ca, GeneticAlgorithmSettings settings)
{
return(ca);
}
public abstract CellularAutomataRules Mutate(CellularAutomataRules ca, GeneticAlgorithmSettings settings);
public override CellularAutomataRules Mutate(CellularAutomataRules ca, GeneticAlgorithmSettings settings)
{
var mutant = new CellularAutomataRules(ca);
int n = Util.RndUniformInt((int)(10.0 * settings.MutationTemperature)) + 1;
for (int i = 0; i < n; i++)
{
int row, col;
int count = 0;
do
{
row = Util.RndUniformInt(ca.NumStates);
col = Util.RndUniformInt(ca.Range);
} while (mutant[col, row] == 0 && count++ < 20);
mutant[col, row] = 0;
}
return mutant;
}
public override CellularAutomataRules Mutate(CellularAutomataRules ca, GeneticAlgorithmSettings settings)
{
var mutant = new CellularAutomataRules(ca);
int n = Util.RndUniformInt((int)(ca.Range * ca.NumStates * settings.MutationTemperature))+1;
for (int i = 0; i < n; i++)
{
int row = Util.RndUniformInt(ca.NumStates);
int col = Util.RndUniformInt(ca.Range);
mutant[col, row] = settings.StateTableDistribution.Next();
}
return mutant;
}
public override CellularAutomataRules Mutate(CellularAutomataRules ca, GeneticAlgorithmSettings settings)
{
return ca;
}
public abstract CellularAutomataRules Mutate(CellularAutomataRules ca, GeneticAlgorithmSettings settings);
