Microsoft.SolverFoundation linear programming
I cannot solve integer linear programming with variable numbers up to thousands and number constraints up hundreds by Microsoft.SolverFoundation, it solves very slow. Please give me advice on which library to use to speed up, I need it within 15 seconds. Thank you.
public void Calculate()
{
Services.SolverContext solver = Services.SolverContext.GetContext();
solver.ClearModel();
Services.Model model = solver.CreateModel();
List<Services.Decision> decisions = new List<Services.Decision>();
for (int i = 0; i < NumChoices.Count; i++)
{
var decision = new Services.Decision(Services.Domain.IntegerNonnegative, $"x{i}");
model.AddDecision(decision);
decisions.Add(decision);
}
for (int j = 0; j < NumChoices[0].Count; j++)
{
Services.Term target = null;
for (int i = 0; i < decisions.Count; i++)
{
if (i == 0)
{
target = decisions[i] * NumChoices[i][j];
}
else
{
target += decisions[i] * NumChoices[i][j];
}
}
if (j == 0)
{
model.AddGoal("Goal", Services.GoalKind.Minimize, target);
}
else
{
target = (QuantityRebars[j] == target);
model.AddConstraint($"Constraint{j}", target);
}
}
Services.Solution solution = solver.Solve();
for (int i = 0; i < decisions.Count; i++)
{
Results.Add(Math.Round(decisions[i].GetDouble()));
TotalBarLength += Math.Round(decisions[i].GetDouble()) * StandandBarLength;
Waste += NumChoices[i][0] * Math.Round(decisions[i].GetDouble());
}
Used = TotalBarLength - Waste;
}
msf
add a comment |
I cannot solve integer linear programming with variable numbers up to thousands and number constraints up hundreds by Microsoft.SolverFoundation, it solves very slow. Please give me advice on which library to use to speed up, I need it within 15 seconds. Thank you.
public void Calculate()
{
Services.SolverContext solver = Services.SolverContext.GetContext();
solver.ClearModel();
Services.Model model = solver.CreateModel();
List<Services.Decision> decisions = new List<Services.Decision>();
for (int i = 0; i < NumChoices.Count; i++)
{
var decision = new Services.Decision(Services.Domain.IntegerNonnegative, $"x{i}");
model.AddDecision(decision);
decisions.Add(decision);
}
for (int j = 0; j < NumChoices[0].Count; j++)
{
Services.Term target = null;
for (int i = 0; i < decisions.Count; i++)
{
if (i == 0)
{
target = decisions[i] * NumChoices[i][j];
}
else
{
target += decisions[i] * NumChoices[i][j];
}
}
if (j == 0)
{
model.AddGoal("Goal", Services.GoalKind.Minimize, target);
}
else
{
target = (QuantityRebars[j] == target);
model.AddConstraint($"Constraint{j}", target);
}
}
Services.Solution solution = solver.Solve();
for (int i = 0; i < decisions.Count; i++)
{
Results.Add(Math.Round(decisions[i].GetDouble()));
TotalBarLength += Math.Round(decisions[i].GetDouble()) * StandandBarLength;
Waste += NumChoices[i][0] * Math.Round(decisions[i].GetDouble());
}
Used = TotalBarLength - Waste;
}
msf
add a comment |
I cannot solve integer linear programming with variable numbers up to thousands and number constraints up hundreds by Microsoft.SolverFoundation, it solves very slow. Please give me advice on which library to use to speed up, I need it within 15 seconds. Thank you.
public void Calculate()
{
Services.SolverContext solver = Services.SolverContext.GetContext();
solver.ClearModel();
Services.Model model = solver.CreateModel();
List<Services.Decision> decisions = new List<Services.Decision>();
for (int i = 0; i < NumChoices.Count; i++)
{
var decision = new Services.Decision(Services.Domain.IntegerNonnegative, $"x{i}");
model.AddDecision(decision);
decisions.Add(decision);
}
for (int j = 0; j < NumChoices[0].Count; j++)
{
Services.Term target = null;
for (int i = 0; i < decisions.Count; i++)
{
if (i == 0)
{
target = decisions[i] * NumChoices[i][j];
}
else
{
target += decisions[i] * NumChoices[i][j];
}
}
if (j == 0)
{
model.AddGoal("Goal", Services.GoalKind.Minimize, target);
}
else
{
target = (QuantityRebars[j] == target);
model.AddConstraint($"Constraint{j}", target);
}
}
Services.Solution solution = solver.Solve();
for (int i = 0; i < decisions.Count; i++)
{
Results.Add(Math.Round(decisions[i].GetDouble()));
TotalBarLength += Math.Round(decisions[i].GetDouble()) * StandandBarLength;
Waste += NumChoices[i][0] * Math.Round(decisions[i].GetDouble());
}
Used = TotalBarLength - Waste;
}
msf
I cannot solve integer linear programming with variable numbers up to thousands and number constraints up hundreds by Microsoft.SolverFoundation, it solves very slow. Please give me advice on which library to use to speed up, I need it within 15 seconds. Thank you.
public void Calculate()
{
Services.SolverContext solver = Services.SolverContext.GetContext();
solver.ClearModel();
Services.Model model = solver.CreateModel();
List<Services.Decision> decisions = new List<Services.Decision>();
for (int i = 0; i < NumChoices.Count; i++)
{
var decision = new Services.Decision(Services.Domain.IntegerNonnegative, $"x{i}");
model.AddDecision(decision);
decisions.Add(decision);
}
for (int j = 0; j < NumChoices[0].Count; j++)
{
Services.Term target = null;
for (int i = 0; i < decisions.Count; i++)
{
if (i == 0)
{
target = decisions[i] * NumChoices[i][j];
}
else
{
target += decisions[i] * NumChoices[i][j];
}
}
if (j == 0)
{
model.AddGoal("Goal", Services.GoalKind.Minimize, target);
}
else
{
target = (QuantityRebars[j] == target);
model.AddConstraint($"Constraint{j}", target);
}
}
Services.Solution solution = solver.Solve();
for (int i = 0; i < decisions.Count; i++)
{
Results.Add(Math.Round(decisions[i].GetDouble()));
TotalBarLength += Math.Round(decisions[i].GetDouble()) * StandandBarLength;
Waste += NumChoices[i][0] * Math.Round(decisions[i].GetDouble());
}
Used = TotalBarLength - Waste;
}
msf
msf
asked Dec 31 '18 at 6:58
QuangNhuQuangNhu
11
11
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