private static void runTest()
{
StringReversalFitness fitness = new StringReversalFitness();
Generator generator = new BitGeneStringGenerator();
GeneratorParameters generatorParameters = new GeneratorParameters(null, 100, 100, true, null);
BasicGeneticInstanceParameters bgiParams = new BasicGeneticInstanceParameters(generator, generatorParameters, fitness);
BasicGeneticRunParameters bgrParams = new BasicGeneticRunParameters(20, 0.7d, 5, 0.3d, false);
BasicGenetics basicGenetics = new BasicGenetics(null, bgiParams);
RandomRestartInstanceParameters rriParams = new RandomRestartInstanceParameters(13000000);
RandomRestartRunParameters rrrParams = new RandomRestartRunParameters(basicGenetics, bgiParams, bgrParams, 1, 200, true);
RandomRestartGenetics randomRestartGenetics = new RandomRestartGenetics(null, rriParams);
int bestFitness = randomRestartGenetics.run(rrrParams);
GeneString bestResult = randomRestartGenetics.getBest();
Console.WriteLine("best result: " + bestFitness);
List<Swap> swaps = new StringReversalSemantics().parse(bestResult);
Console.WriteLine(swaps.Count);
int num = 0;
for (int n = 0; n < 10; n++)
{
num = num * 10 + n;
showTest(num + "", swaps);
}
showTest("Hello World", swaps);
showTest("Wajoo", swaps);
showTest("Werkt Aardig", swaps);
}
private int runChampionRound(RandomRestartRunParameters rrParameters, List<GeneStringFitnessPair> bestResults)
{
if (rrParameters.verbose) Console.WriteLine("running champion round");
GeneString[] geneStrings = new GeneString[bestResults.Count];
for (int n = 0; n < bestResults.Count; n++)
{
geneStrings[n] = bestResults[n].genestring;
}
subGenetics = rrParameters.algorithm.newInstance(geneStrings, rrParameters.algorithmInstanceParameters);
return runUntilRepeating(rrParameters.algorithmRunParameters, rrParameters.numRepeatsBeforeRestart, rrParameters.verbose);
}
