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JobshopFt06Sat.cs
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JobshopFt06Sat.cs
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// Copyright 2010-2018 Google LLC
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
using System;
using System.Collections.Generic;
using System.Linq;
using Google.OrTools.Sat;
public class JobshopFt06Sat
{
public struct Task
{
public Task(IntVar s, IntVar e, IntervalVar i)
{
start = s;
end = e;
interval = i;
}
public IntVar start;
public IntVar end;
public IntervalVar interval;
}
static void Main()
{
int[,] durations = new int[,] { {1, 3, 6, 7, 3, 6},
{8, 5, 10, 10, 10, 4},
{5, 4, 8, 9, 1, 7},
{5, 5, 5, 3, 8, 9},
{9, 3, 5, 4, 3, 1},
{3, 3, 9, 10, 4, 1} };
int[,] machines = new int[,] { {2, 0, 1, 3, 5, 4},
{1, 2, 4, 5, 0, 3},
{2, 3, 5, 0, 1, 4},
{1, 0, 2, 3, 4, 5},
{2, 1, 4, 5, 0, 3},
{1, 3, 5, 0, 4, 2} };
int num_jobs = durations.GetLength(0);
int num_machines = durations.GetLength(1);
var all_jobs = Enumerable.Range(0, num_jobs);
var all_machines = Enumerable.Range(0, num_machines);
int horizon = 0;
foreach (int j in all_jobs)
{
foreach (int m in all_machines)
{
horizon += durations[j, m];
}
}
// Creates the model.
CpModel model = new CpModel();
// Creates jobs.
Task[,] all_tasks = new Task[num_jobs, num_machines];
foreach (int j in all_jobs)
{
foreach (int m in all_machines)
{
IntVar start_var = model.NewIntVar(
0, horizon, String.Format("start_{0}_{1}", j, m));
int duration = durations[j, m];
IntVar end_var = model.NewIntVar(
0, horizon, String.Format("end_{0}_{1}", j, m));
IntervalVar interval_var = model.NewIntervalVar(
start_var, duration, end_var,
String.Format("interval_{0}_{1}", j, m));
all_tasks[j, m] = new Task(start_var, end_var, interval_var);
}
}
// Create disjuctive constraints.
List<IntervalVar>[] machine_to_jobs = new List<IntervalVar>[num_machines];
foreach (int m in all_machines)
{
machine_to_jobs[m] = new List<IntervalVar>();
}
foreach (int j in all_jobs)
{
foreach (int m in all_machines)
{
machine_to_jobs[machines[j, m]].Add(all_tasks[j, m].interval);
}
}
foreach (int m in all_machines)
{
model.AddNoOverlap(machine_to_jobs[m]);
}
// Precedences inside a job.
foreach (int j in all_jobs)
{
for (int k = 0; k < num_machines - 1; ++k)
{
model.Add(all_tasks[j, k + 1].start >= all_tasks[j, k].end);
}
}
// Makespan objective.
IntVar[] all_ends = new IntVar[num_jobs];
foreach (int j in all_jobs)
{
all_ends[j] = all_tasks[j, num_machines - 1].end;
}
IntVar makespan = model.NewIntVar(0, horizon, "makespan");
model.AddMaxEquality(makespan, all_ends);
model.Minimize(makespan);
Console.WriteLine(model.ModelStats());
// Creates the solver and solve.
CpSolver solver = new CpSolver();
// Display a few solutions picked at random.
solver.Solve(model);
// Statistics.
Console.WriteLine(solver.ResponseStats());
}
}