public override byte[] Solve(byte[] partialData, TimeSpan timeout)
{
/****************** DESERIALIZE ************************/
BinaryFormatter formatter = new BinaryFormatter();
VRPParser dvrpData = (VRPParser)formatter.Deserialize(new MemoryStream(partialData));
/******************* SOLVE *************************/
float cutOff = CUT_OFF_COEFF * (float )dvrpData.Depot_Time_Window[0][1];
Result results = TSPTrianIneq.calculate(dvrpData, cutOff);
results.ID = dvrpData.ID;
for (int i = dvrpData.Num_Depots; i < results.route.Length - dvrpData.Num_Depots; i++)
{
results.route[i] = dvrpData.Visit_Location[results.route[i] - dvrpData.Num_Depots] + dvrpData.Num_Depots;
}
for (int i = 0; i < results.nextDay.Count; i++)
{
results.nextDay[i] = dvrpData.Visit_Location[results.nextDay[i] - dvrpData.Num_Depots] + dvrpData.Num_Depots;
}
byte[] data = DataSerialization.ObjectToByteArray(results);
return(data);
}
public static void FullSolveTest(VRPParser benchmark)
{
/******************* DIVIDE *************************/
// Combine coords (x, y) and time_avail (z)
List <Point> data = new List <Point>();
for (int i = 0; i < benchmark.Num_Visits; i++)
{
List <double> point_coords = new List <double>();
// does not include depots - which is what we want
int loc_index = benchmark.Visit_Location[i];
point_coords.Add(benchmark.Location_Coord[loc_index][0]);
point_coords.Add(benchmark.Location_Coord[loc_index][1]);
point_coords.Add(benchmark.Time_Avail[loc_index - 1] + benchmark.Duration[loc_index - 1]);
data.Add(new Point(point_coords));
}
// get optimal number of clusters
PredictionStrength ps = new PredictionStrength(data);
ps.Compute(true);
int k = ps.BestK;
// compute clusters
KMeans clusters = new KMeans(data, k);
clusters.Compute();
// create k benchmarks for k solvers
VRPParser[] partial_benchmarks = new VRPParser[k];
for (int i = 0; i < k; i++)
{
VRPParser partial_benchmark = new VRPParser();
List <int> cluster_indecies = clusters.GetCluterIndecies(i);
/************ COMMON ****************/
int num_depots = benchmark.Num_Depots;
int num_visits = cluster_indecies.Count;
int num_locations = cluster_indecies.Count + num_depots;
partial_benchmark.Num_Visits = num_visits;
partial_benchmark.Num_Depots = num_depots;
partial_benchmark.Name = benchmark.Name;
partial_benchmark.Num_Capacities = benchmark.Num_Capacities;
partial_benchmark.Num_Vehicles = 1;
partial_benchmark.Capacites = benchmark.Capacites;
partial_benchmark.Depots_IDs = new int[benchmark.Depots_IDs.Length];
benchmark.Depots_IDs.CopyTo(partial_benchmark.Depots_IDs, 0);
partial_benchmark.Depot_Location = new int[benchmark.Depot_Location.Length];
benchmark.Depot_Location.CopyTo(partial_benchmark.Depot_Location, 0);
partial_benchmark.Depot_Time_Window = new int[benchmark.Depot_Time_Window.Length][];
for (int p = 0; p < partial_benchmark.Depot_Time_Window.Length; p++)
{
partial_benchmark.Depot_Time_Window[p] = new int[benchmark.Depot_Time_Window[p].Length];
benchmark.Depot_Time_Window[p].CopyTo(partial_benchmark.Depot_Time_Window[p], 0);
}
/************ LOCATION_COORD ****************/
partial_benchmark.Num_Locations = num_locations;
int[][] location_coord = new int[num_locations][];
// get all depots locations
for (int j = 0; j < num_depots; j++)
{
location_coord[j] = new int[2];
location_coord[j][0] = benchmark.Location_Coord[j][0];
location_coord[j][1] = benchmark.Location_Coord[j][1];
}
// get all partial clients locations
for (int j = num_depots; j < num_locations; j++)
{
location_coord[j] = new int[2];
int clientNodeIndex = benchmark.Visit_Location[cluster_indecies[j - num_depots]];
location_coord[j][0] = benchmark.Location_Coord[clientNodeIndex][0];
location_coord[j][1] = benchmark.Location_Coord[clientNodeIndex][1];
}
partial_benchmark.Location_Coord = location_coord;
/************ DEMAND ****************/
int[] demands = new int[num_visits];
for (int j = 0; j < num_visits; j++)
{
int clientNodeIndex = benchmark.Visit_Location[cluster_indecies[j]];
demands[j] = benchmark.Demands[clientNodeIndex - num_depots];
}
partial_benchmark.Demands = demands;
/************ VISIT_LOCATION ****************/
int[] visit_location = new int[num_visits];
for (int j = 0; j < num_visits; j++)
{
int clientNodeIndex = benchmark.Visit_Location[cluster_indecies[j]] - num_depots;
visit_location[j] = clientNodeIndex;
//visit_location[j] = j + num_depots;
}
partial_benchmark.Visit_Location = visit_location;
/************ DURATION ****************/
int[] duration = new int[num_visits];
for (int j = 0; j < num_visits; j++)
{
int clientNodeIndex = benchmark.Visit_Location[cluster_indecies[j]];
duration[j] = benchmark.Duration[clientNodeIndex - num_depots];
}
partial_benchmark.Duration = duration;
/************ TIME_AVAIL ****************/
int[] time_avail = new int[num_visits];
for (int j = 0; j < num_visits; j++)
{
int clientNodeIndex = benchmark.Visit_Location[cluster_indecies[j]];
time_avail[j] = benchmark.Time_Avail[clientNodeIndex - num_depots];
}
partial_benchmark.Time_Avail = time_avail;
partial_benchmarks[i] = partial_benchmark;
}
/******************* SOLVE *************************/
float CUT_OFF_COEFFICIENT = 0.2f;
List <Result> results = new List <Result>();
List <int> nextDay = new List <int>();
float cutOffTime = CUT_OFF_COEFFICIENT * benchmark.Depot_Time_Window[0][1];
for (int i = 0; i < partial_benchmarks.Length; i++)
{
results.Add(TSPTrianIneq.calculate(partial_benchmarks[i], cutOffTime));
}
/******************* MERGE *************************/
for (int j = 0; j < results.Count; j++)
{
for (int i = partial_benchmarks[j].Num_Depots; i < results[j].route.Length - partial_benchmarks[j].Num_Depots; i++)
{
results[j].route[i] = partial_benchmarks[j].Visit_Location[results[j].route[i] - partial_benchmarks[j].Num_Depots] + partial_benchmarks[j].Num_Depots;
}
}
for (int j = 0; j < results.Count; j++)
{
for (int i = 0; i < results[j].nextDay.Count; i++)
{
results[j].nextDay[i] = partial_benchmarks[j].Visit_Location[results[j].nextDay[i] - partial_benchmarks[j].Num_Depots] + partial_benchmarks[j].Num_Depots;
}
}
Console.Write("asd");
}