public double CalculateFitness(string text, string genes)
{
string decr = Decrypt.DecryptText(text, genes);
Dictionary <string, double> monogramM = LetterFrequancy(decr, 1);
Dictionary <string, double> bigramM = LetterFrequancy(decr, 2);
Dictionary <string, double> trigramM = LetterFrequancy(decr, 3);
double diff1, diff2, diff3, f;
int w = WordFrequancy(decr);
diff1 = CompareDictionaries(monogramD, monogramM);
diff2 = CompareDictionaries(bigramD, bigramM);
diff3 = CompareDictionaries(trigramD, trigramM);
f = -(diff1 + diff2 * 0.6 + diff3 * 0.5) + (double)w / 20; //+ count of words / 20
return(f);
}
static void Main(string[] args)
{
string encrypt = "EFFPQLEKVTVPCPYFLMVHQLUEWCNVWFYGHYTCETHQEKLPVMSAKSPVPAPVYWMVHQLUSPQLYWLASLFVWPQLMVHQLUPLRPSQLULQESPBLWPCSVRVWFLHLWFLWPUEWFYOTCMQYSLWOYWYETHQEKLPVMSAKSPVPAPVYWHEPPLUWSGYULEMQTLPPLUGUYOLWDTVSQETHQEKLPVPVSMTLEUPQEPCYAMEWWYOYULULTCYWPQLSEOLSVOHTLUYAPVWLYGDALSSVWDPQLNLCKCLRQEASPVILSLEUMQBQVMQCYAHUYKEKTCASLFPYFLMVHQLUHULIVYASHEUEDUEHQBVTTPQLVWFLRYGMYVWMVFLWMLSPVTTBYUNESESADDLSPVYWCYAMEWPUCPYFVIVFLPQLOLSSEDLVWHEUPSKCPQLWAOKLUYGMQEUEMPLUSVWENLCEWFEHHTCGULXALWMCEWETCSVSPYLEMQYGPQLOMEWCYAGVWFEBECPYASLQVDQLUYUFLUGULXALWMCSPEPVSPVMSBVPQPQVSPCHLYGMVHQLUPQLWLRPHEUEDUEHQMYWPEVWSSYOLHULPPCVWPLULSPVWDVWGYUOEPVYWEKYAPSYOLEFFVPVYWETULBEUF";
Generation task = new Generation(250, 10, encrypt);
DNA best = task.Population[0];
Console.WriteLine($"generation 0 decrypt: {Decrypt.DecryptText(encrypt, best.Genes())}");
for (int i = 0; i < 200; i++)
{
task.CreateNewPopulation();
Console.WriteLine($"\n Generation: {i + 1}");
best = task.Population[0];
Console.WriteLine($"key: {best.Genes()} fitness: {best.Fit}");
Console.WriteLine($"decrypt: {Decrypt.DecryptText(encrypt, best.Genes())}");
}
Console.Read();
}
