public void Run()
{
Boolean terminate = false;
DateTime Begin = DateTime.Now;
ICipher Cipher;
IPopulationGenerator popGen;
IFitness fit;
ISelection selection;
IGenetics genetics;
switch (this.cipher)
{
case 0:
ChromosomeLength = 26;
popGen = new SubPopGen(PopulationSize, ChromosomeLength);
Cipher = new SubstitutionCipher();
break;
case 1:
ChromosomeLength = 54;
popGen = new ZodiacPopGen(PopulationSize, ChromosomeLength);
Cipher = new Z408Cipher();
break;
case 2:
ChromosomeLength = 63;
popGen = new ZodiacPopGen(PopulationSize, ChromosomeLength);
Cipher = new Z340Cipher();
break;
default:
popGen = null;
Cipher = null;
break;
}
Population = popGen.GeneratePopulation();
TimeTermination terminator = new TimeTermination(this.timeLimit);
switch (this.fitness)
{
case 0:
fit = new NGramFitness(Population, Cipher);
break;
case 1:
fit = new BiGramFitness(Population, Cipher);
break;
case 2:
fit = new TriGramFitness(Population, Cipher);
break;
case 3:
fit = new ReducedFitness(Population, Cipher);
break;
default:
fit = null;
break;
}
while (terminate == false)
{
Population = fit.calcFitness();
switch (this.selection)
{
case 0:
selection = new RouletteSelection(Population);
break;
case 1:
selection = new StochasticSelection(Population);
break;
case 2:
selection = new TournamentSelection(Population);
break;
default:
selection = null;
break;
}
Intermediate = selection.selectAlleles();
switch (this.cipher)
{
case 0:
genetics = new SubGenetics(0.6, 0.1, this.crossover, this.mutation);
break;
case 1:
genetics = new ZodiacGenetics(0.6, 0.1, this.mutation, this.crossover);
break;
case 2:
genetics = new ZodiacGenetics(0.6, 0.1, this.mutation, this.crossover);
break;
default:
genetics = null;
break;
}
genetics.reproduce(Intermediate);
terminate = terminator.doesTerminate(Begin);
IChromosome generationMax = findMaxFitness();
Output(generationMax.ToString());
double mean = findMeanFitness();
Output(mean.ToString());
}
IChromosome best = findMaxFitness();
String plaintext = generateCipherText(best, Cipher);
string output = best.ToString();
Output(output);
Output(plaintext);
}
public void Run()
{
Boolean terminate = false;
DateTime Begin = DateTime.Now;
ICipher Cipher;
IPopulationGenerator popGen;
IFitness fit;
ISelection selection;
IGenetics genetics;
switch (this.cipher)
{
case 0:
ChromosomeLength = 26;
popGen = new SubPopGen(PopulationSize, ChromosomeLength);
Cipher = new SubstitutionCipher();
break;
case 1:
ChromosomeLength = 54;
popGen = new ZodiacPopGen(PopulationSize, ChromosomeLength);
Cipher = new Z408Cipher();
break;
case 2:
ChromosomeLength = 63;
popGen = new ZodiacPopGen(PopulationSize, ChromosomeLength);
Cipher = new Z340Cipher();
break;
default:
popGen = null;
Cipher = null;
break;
}
Population = popGen.GeneratePopulation();
TimeTermination terminator = new TimeTermination(this.timeLimit);
switch (this.fitness)
{
case 0:
fit = new NGramFitness(Population, Cipher);
break;
case 1:
fit = new BiGramFitness(Population, Cipher);
break;
case 2:
fit = new TriGramFitness(Population, Cipher);
break;
case 3:
fit = new ReducedFitness(Population, Cipher);
break;
default:
fit = null;
break;
}
while (terminate == false)
{
Population = fit.calcFitness();
switch (this.selection)
{
case 0:
selection = new RouletteSelection(Population);
break;
case 1:
selection = new StochasticSelection(Population);
break;
case 2:
selection = new TournamentSelection(Population);
break;
default:
selection = null;
break;
}
Intermediate = selection.selectAlleles();
switch (this.cipher)
{
case 0:
genetics = new SubGenetics(0.6, 0.1, this.crossover, this.mutation);
break;
case 1:
genetics = new ZodiacGenetics(0.6, 0.1, this.mutation, this.crossover);
break;
case 2:
genetics = new ZodiacGenetics(0.6, 0.1, this.mutation, this.crossover);
break;
default:
genetics = null;
break;
}
genetics.reproduce(Intermediate);
terminate = terminator.doesTerminate(Begin);
IChromosome generationMax = findMaxFitness();
Output(generationMax.ToString());
double mean = findMeanFitness();
Output(mean.ToString());
}
IChromosome best = findMaxFitness();
String plaintext = generateCipherText(best, Cipher);
string output = best.ToString();
Output(output);
Output(plaintext);
}
