-
Notifications
You must be signed in to change notification settings - Fork 2.1k
/
AssignmentTeamsSat.java
147 lines (133 loc) · 4.36 KB
/
AssignmentTeamsSat.java
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
// Copyright 2010-2024 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.
// [START program]
// CP-SAT example that solves an assignment problem.
package com.google.ortools.sat.samples;
// [START import]
import com.google.ortools.Loader;
import com.google.ortools.sat.CpModel;
import com.google.ortools.sat.CpSolver;
import com.google.ortools.sat.CpSolverStatus;
import com.google.ortools.sat.LinearExpr;
import com.google.ortools.sat.LinearExprBuilder;
import com.google.ortools.sat.Literal;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.IntStream;
// [END import]
/** Assignment problem. */
public class AssignmentTeamsSat {
public static void main(String[] args) {
Loader.loadNativeLibraries();
// Data
// [START data]
int[][] costs = {
{90, 76, 75, 70},
{35, 85, 55, 65},
{125, 95, 90, 105},
{45, 110, 95, 115},
{60, 105, 80, 75},
{45, 65, 110, 95},
};
final int numWorkers = costs.length;
final int numTasks = costs[0].length;
final int[] allWorkers = IntStream.range(0, numWorkers).toArray();
final int[] allTasks = IntStream.range(0, numTasks).toArray();
final int[] team1 = {0, 2, 4};
final int[] team2 = {1, 3, 5};
// Maximum total of tasks for any team
final int teamMax = 2;
// [END data]
// Model
// [START model]
CpModel model = new CpModel();
// [END model]
// Variables
// [START variables]
Literal[][] x = new Literal[numWorkers][numTasks];
// Variables in a 1-dim array.
for (int worker : allWorkers) {
for (int task : allTasks) {
x[worker][task] = model.newBoolVar("x[" + worker + "," + task + "]");
}
}
// [END variables]
// Constraints
// [START constraints]
// Each worker is assigned to at most one task.
for (int worker : allWorkers) {
List<Literal> tasks = new ArrayList<>();
for (int task : allTasks) {
tasks.add(x[worker][task]);
}
model.addAtMostOne(tasks);
}
// Each task is assigned to exactly one worker.
for (int task : allTasks) {
List<Literal> workers = new ArrayList<>();
for (int worker : allWorkers) {
workers.add(x[worker][task]);
}
model.addExactlyOne(workers);
}
// Each team takes at most two tasks.
LinearExprBuilder team1Tasks = LinearExpr.newBuilder();
for (int worker : team1) {
for (int task : allTasks) {
team1Tasks.add(x[worker][task]);
}
}
model.addLessOrEqual(team1Tasks, teamMax);
LinearExprBuilder team2Tasks = LinearExpr.newBuilder();
for (int worker : team2) {
for (int task : allTasks) {
team2Tasks.add(x[worker][task]);
}
}
model.addLessOrEqual(team2Tasks, teamMax);
// [END constraints]
// Objective
// [START objective]
LinearExprBuilder obj = LinearExpr.newBuilder();
for (int worker : allWorkers) {
for (int task : allTasks) {
obj.addTerm(x[worker][task], costs[worker][task]);
}
}
model.minimize(obj);
// [END objective]
// Solve
// [START solve]
CpSolver solver = new CpSolver();
CpSolverStatus status = solver.solve(model);
// [END solve]
// Print solution.
// [START print_solution]
// Check that the problem has a feasible solution.
if (status == CpSolverStatus.OPTIMAL || status == CpSolverStatus.FEASIBLE) {
System.out.println("Total cost: " + solver.objectiveValue() + "\n");
for (int worker : allWorkers) {
for (int task : allTasks) {
if (solver.booleanValue(x[worker][task])) {
System.out.println("Worker " + worker + " assigned to task " + task
+ ". Cost: " + costs[worker][task]);
}
}
}
} else {
System.err.println("No solution found.");
}
// [END print_solution]
}
private AssignmentTeamsSat() {}
}