/// <summary>
/// performs a Branch and Bound search of the state space of partial tours
/// stops when time limit expires and uses BSSF as solution
/// </summary>
/// <returns>results array for GUI that contains three ints: cost of solution, time spent to find solution, number of solutions found during search (not counting initial BSSF estimate)</returns>
public string[] bBSolveProblem()
{
string[] results = new string[3];
results[COST] = "not implemented"; // load results into array here, replacing these dummy values
results[TIME] = "-1";
results[COUNT] = "-1";
int count = 0;
Console.Out.WriteLine("City costs: ");
for (int j = 0; j < Cities.Length; j++)
{
for (int h = 0; h < Cities.Length; h++)
{
Console.Write(Cities[j].costToGetTo(Cities[h]) + ",");
}
Console.WriteLine();
}
Stopwatch timer = new Stopwatch();
timer.Start();
PriorityQueue queue = new PriorityQueue();
queue.make_queue(Cities.Length * Cities.Length * Cities.Length * Cities.Length);
//Here I run the greedy algorithm and use that BSSF result as my starting BSSF
greedySolveProblem();
Console.Out.WriteLine("Greedy BSSF: " + costOfBssf());
matrix_and_bound initial_matrix = construct_initial_matrix();
for (int j = 0; j < Cities.Length; j++)
{
for (int h = 0; h < Cities.Length; h++)
{
Console.Write(initial_matrix.Matrix[j, h] + ",");
}
Console.WriteLine();
}
Console.WriteLine(initial_matrix.Lower_bound);
//Console.WriteLine();
//This loop will do my initial population of the queue by looping through each city and getting the lower bound
for (int i = 0; i < Cities.Length; i++)
{
for (int k = 0; k < Cities.Length; k++)
{
if (i != k)
{
//I need to get the lower bound of each reduced matrix and the bound
matrix_and_bound current = matrix_reduction(initial_matrix, i, k);
//Console.WriteLine();
//If the lower bound is less than current bssf add to queue for later checking, otherwise ignore
if (current.Lower_bound < costOfBssf())
{
//need to create new state_data object with state data set
state_data data = new state_data();
//I guess depth doesn't matter to be exact so long as it's relative, so I'll keep this first one as 0
data.Depth = 0;
data.Mb = current;
data.add_city(Cities[i]);
data.add_city(Cities[k]);
data.add_city_index(i);
data.add_city_index(k);
data.set_priority();
Console.Out.WriteLine("bound " + data.Mb.Lower_bound);
//I'm not sure this id is necessary but I'll have to see
data.Id = id;
queue.insert(data, id);
id++;
}
}
}
}
Console.Out.WriteLine("Queue length Initial " + queue.Length);
//now run while queue is not empty and timer is less than 60
while (timer.Elapsed.TotalSeconds < 60 && queue.Length > 0)
{
//pop off of queue and repeat above matrix reduction process
state_data current = queue.delete_min();
//if it's greater or equal to the current bssf I can just ignore it, this is the culling
if (current.Mb.Lower_bound < costOfBssf())
{
//Priority queue looks like it's working
//Console.Out.WriteLine(current.Mb.Lower_bound);
/*
* Now I need to matrix reduce each child of the current node,
* see if it's still smaller than the current bssf if it's a leaf node
* I put it as the current bssf, otherwise I push it on the queue
*/
for (int k = 0; k < Cities.Length; k++)
{
if (!current.City_list.Contains(k))
{
matrix_and_bound child = matrix_reduction(current.Mb, (int)current.City_list[current.City_list.Count - 1], k);
//Console.Out.WriteLine("here");
//Console.Out.WriteLine("Current depth: " + );
for (int j = 0; j < Cities.Length; j++)
{
for (int h = 0; h < Cities.Length; h++)
{
Console.Write(child.Matrix[j, h] + ",");
}
Console.WriteLine();
}
Console.WriteLine(child.Lower_bound);
if (child.Lower_bound < costOfBssf())
{
//need to create new state_data object with state data set
state_data data = new state_data();
//I guess depth doesn't matter to be exact so long as it's relative, so I'll keep this first one as 0
data.Depth = current.Depth + 1;
data.Mb = child;
//The last value in the path is the current city
data.Path = current.Path;
data.City_list = current.City_list;
data.add_city(Cities[k]);
/* Console.Out.WriteLine("The Current Path and length " + data.City_list.Count);
* for (int j = 0; j < data.City_list.Count; j++)
* {
* Console.Out.Write(data.City_list[j] + "->");
* }
* Console.Out.WriteLine();*/
data.City_list = current.City_list;
data.add_city_index(k);
data.set_priority();
//Console.Out.WriteLine("Set Priority " + data.Priority);
//I'm not sure this id is necessary but I'll have to see
data.Id = id;
id++;
// Console.Out.WriteLine("Intermediate Lower Bound " + data.Mb.Lower_bound);
if (data.City_list.Count < Cities.Length)
{
queue.insert(data, id);
}
else if (data.Mb.Lower_bound < costOfBssf())//it's a leaf node and it's less than the current BSSF
{
Console.Out.WriteLine("Current Lower Bound " + costOfBssf());
Console.Out.WriteLine("Final Lower Bound " + data.Mb.Lower_bound);
for (int j = 0; j < data.City_list.Count; j++)
{
Console.Out.Write(data.City_list[j] + "->");
}
bssf = new TSPSolution(data.Path);
count++;
}
}
}
}
}
}
results[COST] = costOfBssf().ToString();
results[TIME] = timer.Elapsed.ToString();
results[COUNT] = count.ToString();
return(results);
}