static void Solve(int size, int forbidden, int seed)
{
RoutingModel routing = new RoutingModel(size, 1);
// Setting first solution heuristic (cheapest addition).
routing.SetFirstSolutionStrategy(RoutingModel.ROUTING_PATH_CHEAPEST_ARC);
// Setting the cost function.
// Put a permanent callback to the distance accessor here. The callback
// has the following signature: ResultCallback2<int64, int64, int64>.
// The two arguments are the from and to node inidices.
RandomManhattan distances = new RandomManhattan(size, seed);
routing.SetCost(distances);
// Forbid node connections (randomly).
Random randomizer = new Random();
long forbidden_connections = 0;
while (forbidden_connections < forbidden)
{
long from = randomizer.Next(size - 1);
long to = randomizer.Next(size - 1) + 1;
if (routing.NextVar(from).Contains(to))
{
Console.WriteLine("Forbidding connection {0} -> {1}", from, to);
routing.NextVar(from).RemoveValue(to);
++forbidden_connections;
}
}
// Add dummy dimension to test API.
routing.AddDimension(new ConstantCallback(),
size + 1,
size + 1,
true,
"dummy");
// Solve, returns a solution if any (owned by RoutingModel).
Assignment solution = routing.Solve();
if (solution != null)
{
// Solution cost.
Console.WriteLine("Cost = {0}", solution.ObjectiveValue());
// Inspect solution.
// Only one route here; otherwise iterate from 0 to routing.vehicles() - 1
int route_number = 0;
for (long node = routing.Start(route_number);
!routing.IsEnd(node);
node = solution.Value(routing.NextVar(node)))
{
Console.Write("{0} -> ", node);
}
Console.WriteLine("0");
}
}
private static NodeEvaluator2 SetCost(FeatureCollection collection, RoutingModel routing)
{
var coordinates = collection
.Features
.Select(x => x.Geometry)
.Cast <Point>()
.Select(x => x.Coordinates)
.Cast <GeographicPosition>()
.ToArray();
var nodeEvaluator = new HaversineDistanceEvaluator(coordinates);
routing.SetCost(nodeEvaluator);
return(nodeEvaluator);
}
public override void Solve()
{
var pparser = new Pparser(FpatIn);
int n, l;
pparser.Fetch(out n, out l);
var rgnode = pparser.FetchN <string>(n);
rgnode.Insert(0, "X");
var model = new RoutingModel(n, 1);
model.SetFirstSolutionStrategy(RoutingModel.ROUTING_GLOBAL_CHEAPEST_ARC);
//model.SetMetaheuristic(RoutingModel.ROUTING_TABU_SEARCH);
model.SetCost(new NodeEval(rgnode.ToArray()));
model.SetDepot(0);
for (int i = 0; i < n; i++)
{
var varI = model.NextVar(i);
for (int j = 0; j < n; j++)
{
if (i == j)
{
continue;
}
if (!NodeEval.FMatch(rgnode[i], rgnode[j]))
{
varI.RemoveValue(j);
}
}
}
Console.WriteLine("solving");
Assignment solution = model.Solve();
model.UpdateTimeLimit(1000 * 60 * 3);
if (solution != null)
{
// Solution cost.
Console.WriteLine("Cost = {0}", solution.ObjectiveValue());
for (var inode = (int)model.Start(0); !model.IsEnd(inode); inode = (int)solution.Value(model.NextVar(inode)))
{
Console.WriteLine(rgnode[inode]);
}
Console.WriteLine("0");
}
}
public string[] Solve(string[] nodes)
{
var routing = new RoutingModel(nodes.Length, 1, 0);
routing.SetCost(new HaversineDistanceEvaluator(nodes, _maps));
var parameters = RoutingModel.DefaultSearchParameters();
parameters.FirstSolutionStrategy = FirstSolutionStrategy.Types.Value.PathCheapestArc;
var solution = routing.SolveWithParameters(parameters);
int routeNumber = 0;
var results = new List <string>();
for (long node = routing.Start(routeNumber); !routing.IsEnd(node); node = solution.Value(routing.NextVar(node)))
{
results.Add(nodes[routing.IndexToNode(node)]);
}
return(results.ToArray());
}
/*
* Number of Vehicles:
*/
public static void Solve(int vehicles, string pathToXml = null)
{
/*
* Add custom distance function
*/
var dist = (pathToXml == null) ? new Distance() : new XmlDistance(pathToXml);
/*
* Generate constraint model
*/
// Third argument defines depot, i.e. start-end node for round trip.
var model = new RoutingModel(dist.MapSize(), vehicles, 0);
model.SetCost(dist);
/*
* This modification forces all Vehicles to visit at least one city.
*/
/*for (int i = 0; i < Vehicles; i++) {
*
* IntVar first = model.NextVar(model.Start(i));
* first.SetMax(dist.MapSize() - 1);
* }
*
* /*
* Solve problem and display solution
*/
Assignment assignment = model.Solve();
if (assignment != null)
{
Console.WriteLine("Total Distance: " + assignment.ObjectiveValue() + "\n");
for (int i = 0; i < vehicles; i++)
{
/*
* Display Round Trip:
*/
Console.WriteLine("Round Trip for Vehicle " + i + "\n");
for (long node = model.Start(i); node < model.End(i); node = model.Next(assignment, node))
{
Console.Write(node + " -> ");
}
Console.WriteLine(model.Start(i) + "\n");
/*
* Display individual Section Distances for Verification:
*/
var source = (int)model.Start(i);
while (source < model.End(i))
{
var target = (int)model.Next(assignment, source);
if (source < dist.MapSize() && target < dist.MapSize())
{
Console.WriteLine("From " + source + " travel to " + target + " -> distance = " +
dist.Run(source, target));
}
else if (source < dist.MapSize())
{
Console.WriteLine("From " + source + " travel to 0 -> distance = " + dist.Run(source, 0));
}
source = target;
}
Console.WriteLine("\n");
}
}
Console.ReadKey();
}