public override void Improve(Route route, bool printProgress = false)
{
_genePool = new GeneticRoute[GenePoolCount];
_selected = new GeneticRoute[SelectionCount];
if (printProgress) {
Console.ForegroundColor = ConsoleColor.Green;
Console.WriteLine("Starting a new {0} search", GetType().Name);
Console.WriteLine("Creating initial population...");
Console.Write("Progress: 0/{0}", GenePoolCount);
Console.ForegroundColor = ConsoleColor.White;
}
ReversingSearcher improver = new ReversingSearcher();
_genePool[0] = new GeneticRoute(route);
_genePool[0].Fitness = route.Length;
for (int i = 1; i < GenePoolCount; ++i) {
_genePool[i] = new GeneticRoute(route.Graph, _rand);
_genePool[i].Fitness = _genePool[i].Length;
//Route clone = new Route(_genePool[i]);
//improver.Improve(clone, false);
//_genePool[i].Fitness = clone.Length;
if (printProgress) {
Console.CursorLeft = 10;
Console.Write("{0}/{1}", i + 1, GenePoolCount);
}
}
if (printProgress) {
Console.ForegroundColor = ConsoleColor.Green;
Console.WriteLine();
Console.WriteLine("Initial population created");
Console.WriteLine("Running generations...");
Console.Write("Progress: 0/{0} - 0", GenerationLimit);
Console.ForegroundColor = ConsoleColor.White;
}
for (int g = 0; g < GenerationLimit; ++g) {
if (printProgress) {
Console.CursorLeft = 10;
Console.Write("{0}/{1} - {2} ", g + 1, GenerationLimit, _genePool[0].Fitness);
}
for (int i = 0; i < SelectionCount; ++i) {
int j = 0;
while (IsSelected(i, j) || _rand.NextDouble() >= SelectionQuality) {
j = (j + 1) % GenePoolCount;
}
_selected[i] = _genePool[j];
}
for (int i = 0; i < OffspringCount; ++i) {
GeneticRoute parentA = _selected[0]; // TODO: fix for different
GeneticRoute parentB = _selected[1]; // selection counts
ushort[] genes = new ushort[route.Count];
Crossover(genes, parentA.Genes, parentB.Genes);
Mutate(genes);
GeneticRoute child = new GeneticRoute(route.Graph, genes);
//Route clone = new Route(child);
//improver.Improve(clone, false);
//child.Fitness = clone.Length;
child.Fitness = child.Length;
int l = -1;
for (int j = GenePoolCount - 1; j >= 0; --j) {
GeneticRoute other = _genePool[j];
if (other.Fitness > child.Fitness) {
_genePool[j] = child;
if (l > -1)
_genePool[l] = other;
if (j == 0) {
BetterRouteFound(this, new BetterRouteFoundEventArgs(child));
g = 0;
}
l = j;
} else break;
}
}
}
if (printProgress) {
Console.ForegroundColor = ConsoleColor.Green;
Console.WriteLine("\nGenetic search complete");
Console.ForegroundColor = ConsoleColor.White;
}
Route best = new Route(_genePool[0]);
improver.Improve(best);
route.Clear();
for (int i = 0; i < best.Count; ++i)
route.Insert(route.VIndexOf(best[i]), i);
}
public override void Improve(Route route, bool printProgress = false)
{
_genePool = new GeneticRoute[GenePoolCount];
_selected = new GeneticRoute[SelectionCount];
if (printProgress)
{
Console.ForegroundColor = ConsoleColor.Green;
Console.WriteLine("Starting a new {0} search", GetType().Name);
Console.WriteLine("Creating initial population...");
Console.Write("Progress: 0/{0}", GenePoolCount);
Console.ForegroundColor = ConsoleColor.White;
}
ReversingSearcher improver = new ReversingSearcher();
_genePool[0] = new GeneticRoute(route);
_genePool[0].Fitness = route.Length;
for (int i = 1; i < GenePoolCount; ++i)
{
_genePool[i] = new GeneticRoute(route.Graph, _rand);
_genePool[i].Fitness = _genePool[i].Length;
//Route clone = new Route(_genePool[i]);
//improver.Improve(clone, false);
//_genePool[i].Fitness = clone.Length;
if (printProgress)
{
Console.CursorLeft = 10;
Console.Write("{0}/{1}", i + 1, GenePoolCount);
}
}
if (printProgress)
{
Console.ForegroundColor = ConsoleColor.Green;
Console.WriteLine();
Console.WriteLine("Initial population created");
Console.WriteLine("Running generations...");
Console.Write("Progress: 0/{0} - 0", GenerationLimit);
Console.ForegroundColor = ConsoleColor.White;
}
for (int g = 0; g < GenerationLimit; ++g)
{
if (printProgress)
{
Console.CursorLeft = 10;
Console.Write("{0}/{1} - {2} ", g + 1, GenerationLimit, _genePool[0].Fitness);
}
for (int i = 0; i < SelectionCount; ++i)
{
int j = 0;
while (IsSelected(i, j) || _rand.NextDouble() >= SelectionQuality)
{
j = (j + 1) % GenePoolCount;
}
_selected[i] = _genePool[j];
}
for (int i = 0; i < OffspringCount; ++i)
{
GeneticRoute parentA = _selected[0]; // TODO: fix for different
GeneticRoute parentB = _selected[1]; // selection counts
ushort[] genes = new ushort[route.Count];
Crossover(genes, parentA.Genes, parentB.Genes);
Mutate(genes);
GeneticRoute child = new GeneticRoute(route.Graph, genes);
//Route clone = new Route(child);
//improver.Improve(clone, false);
//child.Fitness = clone.Length;
child.Fitness = child.Length;
int l = -1;
for (int j = GenePoolCount - 1; j >= 0; --j)
{
GeneticRoute other = _genePool[j];
if (other.Fitness > child.Fitness)
{
_genePool[j] = child;
if (l > -1)
{
_genePool[l] = other;
}
if (j == 0)
{
BetterRouteFound(this, new BetterRouteFoundEventArgs(child));
g = 0;
}
l = j;
}
else
{
break;
}
}
}
}
if (printProgress)
{
Console.ForegroundColor = ConsoleColor.Green;
Console.WriteLine("\nGenetic search complete");
Console.ForegroundColor = ConsoleColor.White;
}
Route best = new Route(_genePool[0]);
improver.Improve(best);
route.Clear();
for (int i = 0; i < best.Count; ++i)
{
route.Insert(route.VIndexOf(best[i]), i);
}
}
