public OptimalGenerationTester(int ranSeed)
{
int testSize = 1000;
for (int n = 4; n < 12; n++)//Size of board
{
Console.WriteLine("For a board size of " + n);
Console.WriteLine("Seed: " + ranSeed);
Console.WriteLine("Number of tests: " + testSize);
for (int i = 1; i <= n; i++)//Boards to generate
{
int avg = 0;
for (int k = 0; k < testSize; k++)//Tests
{
InformedSearch s = new InformedSearch(n, i, ranSeed);
avg += s.GetNumSwaps();
}
Console.WriteLine(string.Format("For {0} initial board generations, {1} average swaps", i, (avg / testSize)));
}
Console.ReadLine();
}
}
static void Main(string[] args)
{
//variables
int size;
int seed;
//Set up
Console.WriteLine("Input board size >= 4. Default = 8");
size = (Int32.TryParse(Console.ReadLine(), out size) && size > 3) ? size : 8;
Console.WriteLine("Board size of " + size + " selected");
Console.WriteLine("Input seed. Default = Current Time");
seed = Int32.TryParse(Console.ReadLine(), out seed) ? seed : (int)Math.Abs((int)DateTime.Now.ToBinary());
Console.WriteLine("Seed of " + seed + " selected");
Console.WriteLine();
//Actual searches
Console.WriteLine("Press Enter to run blindsearch");
Console.ReadLine();
var timer = System.Diagnostics.Stopwatch.StartNew();
BlindSearch blind = new BlindSearch(size);
Console.WriteLine("Blind search compleated in: " + timer.ElapsedMilliseconds + "ms");
timer.Reset();
Console.WriteLine("\n\nPress Enter to run Hueristic search");
Console.ReadLine();
timer.Start();
InformedSearch huristic = new InformedSearch(size, seed);
Console.WriteLine("Hueristic search compleated in: " + timer.ElapsedMilliseconds + "ms");
timer.Stop();
Console.ReadLine();
}
