public TSPSolution solve(TSPInput input)
{
SASPlan.Domain dom = input.exportToPlanningDomain();
createEngine(dom);
engine.search();
return(convertPlan(engine.getSolution(), dom, input));
}
public static TSPInput generateHybrid(int nodesCount, int clusters, int maxWidth = 1000, int maxHeight = 1000)
{
r = new Random();
TSPInput result = TSPInput.create();
List <double> clustersX = new List <double>(), clustersY = new List <double>();
double x, y;
for (int i = 0; i < clusters; i++)
{
do
{
x = r.NextDouble() * maxWidth - maxWidth / (2 * clusters - 1);
y = r.NextDouble() * maxHeight - maxHeight / (2 * clusters - 1);
} while (x < 0 || y < 0);
clustersX.Add(x);
clustersY.Add(y);
}
for (int j = 0; j < clusters; j++)
{
int clusterSize = r.Next(nodesCount / (clusters - 1));
for (int i = 0; i < clusterSize; i++)
{
TSPPoint p = TSPPoint.create(clustersX[j] + r.NextDouble() * maxWidth / clusters,
clustersY[j] + r.NextDouble() * maxHeight / clusters);
result.addPoint(p);
}
}
while (result.nodesCount < nodesCount)
{
TSPPoint p = TSPPoint.create(r.NextDouble() * maxWidth, r.NextDouble() * maxHeight);
result.addPoint(p);
}
return(result);
}
public static TSPInput create(Func <TSPPoint, TSPPoint, double> distanceCalculator = null)
{
var result = new TSPInput();
result.distanceCalculator = distanceCalculator;
return(result);
}
public static TSPInput generateClustersAntiGreedy(int nodesCount, int clusters, int maxWidth = 1000, int maxHeight = 1000)
{
r = new Random();
TSPInput result = TSPInput.create();
List <double> clustersX = new List <double>(), clustersY = new List <double>();
double x, y;
for (int i = 0; i < clusters; i++)
{
do
{
x = r.NextDouble() * maxWidth - maxWidth / (2 * clusters);
y = r.NextDouble() * maxHeight - maxHeight / (2 * clusters);
} while (x < 0 || y < 0);
clustersX.Add(x);
clustersY.Add(y);
}
for (int j = 0; j < clusters; j++)
{
for (int i = 0; i < (nodesCount - 4) / clusters; i++)
{
TSPPoint p = TSPPoint.create(clustersX[j] + r.NextDouble() * maxWidth / clusters,
clustersY[j] + r.NextDouble() * maxHeight / clusters);
result.addPoint(p);
}
}
result.addPoint(TSPPoint.create(0, 0));
result.addPoint(TSPPoint.create(1000, 0));
result.addPoint(TSPPoint.create(0, 1000));
result.addPoint(TSPPoint.create(1000, 1000));
return(result);
}
private PermutationStandard initialize(TSPInput input)
{
var result = new PermutationStandard(input);
result.randomize();
return(result);
}
private void trySolve(TSPInput input, List <int> currentPart, List <int> remainning, double currentLength)
{
if (currentLength > best)
{
return;
}
// pokud se krizi prave pridana hrana s nejakou dalsi tak konec - v optimalnim reseni se hrany nekrizi.
if (isCrossing(input, currentPart))
{
return;
}
if (remainning.Count == 0)
{
if (currentLength + input.getDistance(currentPart[currentPart.Count - 1], 0) < best)
{
best = currentLength + input.getDistance(currentPart[currentPart.Count - 1], 0);
currentPart.CopyTo(bestSolution);
}
return;
}
for (int i = 0; i < remainning.Count; i++)
{
int item = remainning[i];
double distance = input.getDistance(currentPart[currentPart.Count - 1], item);
currentPart.Add(item);
remainning.RemoveAt(i);
trySolve(input, currentPart, remainning, currentLength + distance);
remainning.Insert(i, item);
currentPart.RemoveAt(currentPart.Count - 1);
}
}
protected double airDistance(int point1, int point2, TSPInput input)
{
var p1 = input.getPoint(point1);
var p2 = input.getPoint(point2);
return(Math.Sqrt(Math.Sqrt((p1.x - p2.x) * (p1.x - p2.x) + (p1.y - p2.y) * (p1.y - p2.y))));
}
protected override int findBest(int from, TSPInput input)
{
int best = -1;
double bestEvaluation = double.MaxValue;
foreach (var item in available)
{
double evaluation = input.getDistance(from, item);
if (solvingPath)
{
evaluation += airDistance(this.pathStart, item, input) / input.maximumDistance;
evaluation -= airDistance(this.pathEnd, item, input) / (input.maximumDistance);
}
if (isLeaf(item, input))
{
evaluation -= input.minimumDistance;
}
if (evaluation < bestEvaluation)
{
bestEvaluation = evaluation;
best = item;
}
}
return(best);
}
private void computeSpanningTree(TSPInput input)
{
representatives = new int[input.nodesCount];
for (int i = 0; i < input.nodesCount; i++)
{
representatives[i] = i;
}
successorsList = new Dictionary <int, List <int> >();
copyEdgesLengths(input);
int selectedEdgesCount = 0;
for (int i = 0; i < edges.Count; i++)
{
if (selectedEdgesCount == input.nodesCount - 1)
{
break;
}
int firstRepre = findRepresentative(edges[i].from),
secondRepre = findRepresentative(edges[i].to);
if (firstRepre == secondRepre)
{
continue;
}
representatives[firstRepre] = secondRepre;
selectedEdgesCount++;
addEdge(edges[i]);
}
}
public TSPSolution solve(TSPInput input)
{
TSPSolution best = null;
for (int r = 0; r < 5; ++r)
{
Console.WriteLine($@"== RUN:{r} ==");
population.Clear();
for (int i = 0; i < PopulationSize; ++i)
{
population.Add(getRandomSolution(input));
}
run();
var tmp = GetBest();
Console.WriteLine($@"Distance: {tmp.totalDistance}");
if (best == null || tmp.totalDistance < best.totalDistance)
{
best = tmp;
}
}
visualizer.draw(best);
return(best);
}
private PermutationStandard initialize2(TSPInput input)
{
var solver = new GreedySolver();
var result = solver.solve(input);
return(new PermutationStandard(result));
}
public void draw(TSPInput inp, bool clear = true)
{
if (clear)
{
g.Clear(Color.WhiteSmoke);
}
xStretch = width / (inp.maxValueX + 20);
yStretch = height / (inp.maxValueY + 20);
if (inp.nodesCount > 2000)
{
nodeSize--;
}
if (inp.nodesCount > 10000)
{
nodeSize--;
}
for (int i = 0; i < inp.nodesCount; i++)
{
var node = inp.getPoint(i);
drawNode(node);
}
fillNode(inp.getPoint(0), Color.Green);
screen.Refresh();
}
public TSPSolution solve(TSPInput input)
{
Console.WriteLine("Hill climbing started");
current = initialize(input);
currentBest = current.convertToTSPSol();
visualizer.draw(currentBest);
stop = false;
int steps = 0;
while (!stop)
{
steps++;
goOneStep();
if (steps % 10 == 0)
{
currentBest = current.convertToTSPSol();
visualizer.draw(currentBest);
Console.WriteLine("Steps: " + steps + " Best distance: " + currentBest.totalDistance);
}
}
Console.WriteLine("Search ended");
currentBest = current.convertToTSPSol();
visualizer.draw(currentBest);
Console.WriteLine("Steps: " + steps + " Best distance: " + currentBest.totalDistance);
return(currentBest);
}
public TSPSolution solve(TSPInput input)
{
GreedySolver s = new GreedySolver();
best = s.solve(input).computeDistance() + 1;
bestSolution = new int[input.nodesCount];
List <int> current = new List <int>();
current.Add(0);
List <int> remaining = new List <int>();
for (int i = 1; i < input.nodesCount; i++)
{
remaining.Add(i);
}
trySolve(input, current, remaining, 0);
TSPSolution result = new TSPSolution(input);
for (int i = 0; i < input.nodesCount - 1; i++)
{
result.setSuccessor(bestSolution[i], bestSolution[i + 1]);
}
result.setSuccessor(bestSolution[input.nodesCount - 1], 0);
return(result);
}
public virtual TSPSolution solveStartPoint(TSPInput input, int startNode)
{
if (input.nodesCount <= 1)
{
return(new TSPSolution(input));
}
int endnode = Enumerable.Range(0, input.nodesCount).Select(x => input.getDistance(startNode, x)).MaxWithIndex().index;
return(solvePath(input, startNode, endnode));
/*
* double bestDist = double.MaxValue;
* TSPSolution bestSolution = null;
* for (int i = 0; i < input.nodesCount; i++)
* {
* if (i == startNode)
* continue;
* var sol = solvePath(input, startNode, i);
* double dist = sol.totalDistance;
* if (dist < bestDist)
* {
* bestSolution = sol;
* bestDist = dist;
* if (dist <= input.minimumDistance * (input.nodesCount - 1))
* break;
* //break;
* }
* }
* return bestSolution;
*/
}
private TSPSolution solve(TSPInput input, bool hasEdge = false, int startNode = 0, int endNode = 0)
{
TSPSolution result = null;
if (hasEdge)
{
result = new TSPSolutionPath(input, startNode, endNode);
}
else
{
result = new TSPSolution(input);
}
succ = new List <List <int> >();
edge predefinedEdge = default;
edgesUsed = 0;
List <edge> edges = new List <edge>();
for (int i = 0; i < input.nodesCount; i++)
{
succ.Add(new List <int>());
for (int j = 0; j < i; j++)
{
edge ed = new edge(i, j, input.getDistance(i, j));
if (hasEdge && (startNode == i && endNode == j) || (startNode == j && endNode == i))
{
predefinedEdge = ed;
}
else
{
edges.Add(ed);
}
}
}
if (hasEdge)
{
addToSolution(predefinedEdge);
}
edges.Sort((a, b) => (int)(a.distance - b.distance));
int index = -1;
while (edgesUsed < input.nodesCount)
{
index++;
edge e = edges[index];
if (succ[e.node1].Count >= 2 || succ[e.node2].Count >= 2)
{
continue;
}
if (createsCycle(e) && edgesUsed != input.nodesCount - 1)
{
continue;
}
addToSolution(e);
}
addEdgesToResult(result);
return(result);
}
public Edge(int from, int to, TSPInput inp, double weight)
{
this.from = from;
this.to = to;
this.weight = weight;
this.inp = inp;
this.a = (inp.getPoint(to).y - inp.getPoint(from).y) / (inp.getPoint(to).x - inp.getPoint(from).x);
this.b = inp.getPoint(to).y - inp.getPoint(to).x *a;
}
public Edge(int from, int to, TSPInput inp)
{
this.from = from;
this.to = to;
this.weight = inp.getDistance(from, to);
this.inp = inp;
this.a = (inp.getPoint(to).y - inp.getPoint(from).y) / (inp.getPoint(to).x - inp.getPoint(from).x);
this.b = inp.getPoint(to).y - inp.getPoint(to).x *a;
}
private static TSPInput load(string file)
{
IFormatter formatter = new BinaryFormatter();
Stream stream = new FileStream(file, FileMode.Open);
TSPInput t = (TSPInput)formatter.Deserialize(stream);
stream.Close();
return(t);
}
public override TSPSolution solvePath(TSPInput input, int startNode, int endNode)
{
this.solvingPath = true;
this.pathStart = startNode;
this.pathEnd = endNode;
var result = base.solvePath(input, startNode, endNode);
solvingPath = false;
return(result);
}
/// <summary>
/// Node is leaf if there is only one other node such that their distance is the minimalDistance (among all nodes)
/// </summary>
/// <param name="node"></param>
/// <param name="input"></param>
/// <returns></returns>
protected bool isLeaf(int node, TSPInput input)
{
int neighbours = available.Select(r => input.getDistance(r, node)).Where(d => d == input.minimumDistance).Count();
if (input.getDistance(this.pathEnd, node) == input.minimumDistance)
{
neighbours++;
}
return(neighbours == 1);
}
public TSPSolution solve(TSPInput input)
{
computeSpanningTree(input);
TSPSolution result = new TSPSolution(input);
visited.Clear();
labelTreePreOrder(0, result);
result.setSuccessor(lastNodeLabeled, 0);
return(result);
//return null;
}
public static TSPInput generateUniform(int nodesCount, int maxWidth = 1000, int maxHeight = 1000)
{
//r = new Random();
TSPInput result = TSPInput.create();
for (int i = 0; i < nodesCount; i++)
{
TSPPoint p = TSPPoint.create(r.NextDouble() * maxWidth, r.NextDouble() * maxHeight);
result.addPoint(p);
}
return(result);
}
private void copyEdgesLengths(TSPInput input)
{
edges = new List <Edge>();
for (int i = 0; i < input.nodesCount; i++)
{
for (int j = i + 1; j < input.nodesCount; j++)
{
edges.Add(new Edge(i, j, input, input.getDistance(i, j)));
}
}
edges.Sort((t1, t2) => t1.weight.CompareTo(t2.weight));
}
// Initialization of a TSPSolution
private TSPSolution getRandomSolution(TSPInput input)
{
var perm = new PermutationStandard(input);
perm.randomize();
var p = perm.convertToTSPSol();
if (!p.validate())
{
throw new InvalidOperationException();
}
return(p);
}
public void findBestPermutation(TSPInput input)
{
inp = input;
bestFitness = double.MaxValue;
bestPermutation = new List <int>(input.nodesCount);
List <int> available = new List <int>(input.nodesCount);
for (int i = 1; i < input.nodesCount; i++)
{
available.Add(i);
}
searchPermutations(available, new List <int>(input.nodesCount));
}
private TSPSolution convertPlan(List <int> plan, SASPlan.Domain domain, TSPInput input)
{
TSPSolution sol = new TSPSolution(input);
int j = 0;
foreach (var item in plan)
{
SASPlan.Operator op = domain.operators[item];
sol.setSuccessor(j, op.effects[0].effectValue);
j = op.effects[0].effectValue;
}
sol.setSuccessor(j, 0);
return(sol);
}
protected virtual int findBest(int from, TSPInput input)
{
int best = -1;
double bestDistance = double.MaxValue;
foreach (var item in available)
{
double distance = input.getDistance(from, item);
if (distance < bestDistance)
{
bestDistance = distance;
best = item;
}
}
return(best);
}
internal static TSPSolution fromString(string result, TSPInput inp)
{
string[] points = result.Split(new string[] { " " }, StringSplitOptions.RemoveEmptyEntries);
if (points.Length != inp.nodesCount)
{
System.Windows.Forms.MessageBox.Show("Spatna delka reseni.\nReseni ma mit delku " + inp.nodesCount + ". Vase reseni ma delku " + points.Length);
return(null);
}
TSPSolution sol = new TSPSolution(inp);
for (int i = 0; i < points.Length - 1; i++)
{
sol.setSuccessor(int.Parse(points[i]) - 1, int.Parse(points[i + 1]) - 1);
}
sol.setSuccessor(int.Parse(points[points.Length - 1]) - 1, int.Parse(points[0]) - 1);
return(sol);
}
public TSPSolution solve(TSPInput input)
{
computeCentroid(input);
int[] points = new int[input.nodesCount];
for (int i = 0; i < input.nodesCount; i++)
{
points[i] = i;
}
Array.Sort(points, comparer);
TSPSolution sol = new TSPSolution(input);
for (int i = 0; i < input.nodesCount - 1; i++)
{
sol.setSuccessor(points[i], points[i + 1]);
}
sol.setSuccessor(points[input.nodesCount - 1], points[0]);
return(sol);
}