public void test_getFiniteAlphabet()
{
for (int i = 2; i <= 40; ++i)
{
ICollection <int> fab = NQueensGenAlgoUtil.getFiniteAlphabetForBoardOfSize(i);
Assert.AreEqual(i, fab.Size());
}
}
public void test_generateRandomIndividual()
{
for (int i = 2; i <= 40; ++i)
{
Individual <int> individual = NQueensGenAlgoUtil.generateRandomIndividual(i);
Assert.AreEqual(i, individual.length());
}
}
static void nQueensGeneticAlgorithmSearch()
{
System.Console.WriteLine("\nNQueensDemo GeneticAlgorithm -->");
try
{
IFitnessFunction <int> fitnessFunction = NQueensGenAlgoUtil.getFitnessFunction();
GoalTest <Individual <int> > goalTest = NQueensGenAlgoUtil.getGoalTest();
// Generate an initial population
ISet <Individual <int> > population = CollectionFactory.CreateSet <Individual <int> >();
for (int i = 0; i < 50; ++i)
{
population.Add(NQueensGenAlgoUtil.generateRandomIndividual(boardSize));
}
GeneticAlgorithm <int> ga = new GeneticAlgorithm <int>(boardSize,
NQueensGenAlgoUtil.getFiniteAlphabetForBoardOfSize(boardSize), 0.15);
// Run for a set amount of time
Individual <int> bestIndividual = ga.geneticAlgorithm(population, fitnessFunction, goalTest, 1000L);
System.Console.WriteLine("Max Time (1 second) Best Individual=\n"
+ NQueensGenAlgoUtil.getBoardForIndividual(bestIndividual));
System.Console.WriteLine("Board Size = " + boardSize);
//System.Console.WriteLine("# Board Layouts = " + (new BigDecimal(boardSize)).pow(boardSize)/*);*/
System.Console.WriteLine("Fitness = " + fitnessFunction.apply(bestIndividual));
System.Console.WriteLine("Is Goal = " + goalTest(bestIndividual));
System.Console.WriteLine("Population Size = " + ga.getPopulationSize());
System.Console.WriteLine("Iterations = " + ga.getIterations());
System.Console.WriteLine("Took = " + ga.getTimeInMilliseconds() + "ms.");
// Run till goal is achieved
bestIndividual = ga.geneticAlgorithm(population, fitnessFunction, goalTest, 0L);
System.Console.WriteLine("");
System.Console
.WriteLine("Goal Test Best Individual=\n" + NQueensGenAlgoUtil.getBoardForIndividual(bestIndividual));
System.Console.WriteLine("Board Size = " + boardSize);
//System.Console.WriteLine("# Board Layouts = " + (new BigDecimal(boardSize)).pow(boardSize)/*);*/
System.Console.WriteLine("Fitness = " + fitnessFunction.apply(bestIndividual));
System.Console.WriteLine("Is Goal = " + goalTest(bestIndividual));
System.Console.WriteLine("Population Size = " + ga.getPopulationSize());
System.Console.WriteLine("Itertions = " + ga.getIterations());
System.Console.WriteLine("Took = " + ga.getTimeInMilliseconds() + "ms.");
}
catch (Exception e)
{
throw e;
}
}
public void test_getBoardForIndividual()
{
NQueensBoard board = NQueensGenAlgoUtil
.getBoardForIndividual(new Individual <int>(CollectionFactory.CreateQueue <int>(new[] { 5, 6, 1, 3, 6, 4, 7, 7 })));
Assert.AreEqual(" - - - - - - - - \n"
+ " - - Q - - - - - \n" + " - - - - - - - - \n"
+ " - - - Q - - - - \n" + " - - - - - Q - - \n"
+ " Q - - - - - - - \n" + " - Q - - Q - - - \n"
+ " - - - - - - Q Q \n", board.getBoardPic());
Assert.AreEqual("--------\n" + "--Q-----\n" + "--------\n"
+ "---Q----\n" + "-----Q--\n" + "Q-------\n" + "-Q--Q---\n"
+ "------QQ\n", board.ToString());
}
public void setUp()
{
fitnessFunction = NQueensGenAlgoUtil.getFitnessFunction();
goalTest = NQueensGenAlgoUtil.getGoalTest();
}
