public void TestRefineGa()
{
const int seed = 7234;
const int order = 36;
const int stageCount = 12;
const int genomeCount = 256;
const int sortableCount = 128;
const int selectionFactor = 16;
const int rounds = 75;
const int srounds = 4;
var sw = new Stopwatch();
sw.Start();
var randy = Rando.Standard(seed);
var genomePoolDualSorter = randy.ToGenomePoolDualSorter(order, stageCount, genomeCount);
var randomSortablePool = randy.ToRandomSortablePool(
order: order,
poolCount: sortableCount);
var gaDualSorter = new GaDualSorter(
genomePoolDualSorter: genomePoolDualSorter,
sortablePool: randomSortablePool,
randy: randy);
var gaDualSorterR = new GaDualSorter(
genomePoolDualSorter: genomePoolDualSorter,
sortablePool: randomSortablePool,
randy: randy);
Console.WriteLine("n_Avg n_Min r_Avg r_Min");
for (var i = 0; i < rounds; i++)
{
SortingResults eval = null;
SortingResults evalR = null;
for (var j = 0; j < srounds; j++)
{
eval = gaDualSorter.Eval(false);
evalR = gaDualSorterR.Eval(false);
gaDualSorter = gaDualSorter.EvolveSorters(eval.SorterResults, randy, selectionFactor);
gaDualSorterR = gaDualSorterR.EvolveSortersRecomb(eval.SorterResults, randy, selectionFactor);
}
var avgE = eval.SorterResults.Select(sr => sr.Value.AverageSortedness).ToList();
var avgR = evalR.SorterResults.Select(sr => sr.Value.AverageSortedness).ToList();
Console.WriteLine($"{avgE.Average()} {avgE.Min()} {avgR.Average()} {avgR.Min()}");
}
sw.Stop();
Console.WriteLine("\nElapsed={0}", sw.Elapsed);
}
public void TestMakeGaDualSorter()
{
const int seed = 5234;
const int order = 17;
const int stageCount = 20;
const int genomeCount = 20;
const int sortableCount = 10;
var randy = Rando.Standard(seed);
var genomePoolDualSorter = randy.ToGenomePoolDualSorter(order, stageCount, genomeCount);
var randomSortablePool = randy.ToRandomSortablePool(
order: order,
poolCount: sortableCount);
var gaDualSorter = new GaDualSorter(
genomePoolDualSorter: genomePoolDualSorter,
sortablePool: randomSortablePool,
randy: randy);
}
