-
Notifications
You must be signed in to change notification settings - Fork 2.1k
/
sports_scheduling_sat.cc
335 lines (292 loc) · 12.2 KB
/
sports_scheduling_sat.cc
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
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
// 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.
// Sports scheduling problem.
//
// We want to solve the problem of scheduling of team matches in a
// double round robin tournament. Given a number of teams, we want
// each team to encounter all other teams, twice, once at home, and
// once away. Furthermore, you cannot meet the same team twice in the
// same half-season.
//
// Finally, there are constraints on the sequence of home or aways:
// - You cannot have 3 consecutive homes or three consecutive aways.
// - A break is a sequence of two homes or two aways, the overall objective
// of the optimization problem is to minimize the total number of breaks.
// - If team A meets team B, the reverse match cannot happen less that 6 weeks
// after.
//
// In the opponent model, we use three matrices of variables, each with
// num_teams rows and 2*(num_teams - 1) columns: the var at position [i][j]
// corresponds to the match of team #i at day #j. There are
// 2*(num_teams - 1) columns because each team meets num_teams - 1
// opponents twice.
//
// - The 'opponent' var [i][j] is the index of the opposing team.
// - The 'home_away' var [i][j] is a boolean: 1 for 'playing away',
// 0 for 'playing at home'.
// - The 'signed_opponent' var [i][j] is the 'opponent' var [i][j] +
// num_teams * the 'home_away' var [i][j].
//
// In the fixture model, we have a cube of Boolean variables fixtures.
// fixtures[d][i][j] is true if team i plays team j at home on day d.
// We also introduces a variable at_home[d][i] which is true if team i
// plays any opponent at home on day d.
#include <string>
#include <vector>
#include "absl/strings/str_cat.h"
#include "absl/strings/str_format.h"
#include "absl/strings/str_join.h"
#include "ortools/base/commandlineflags.h"
#include "ortools/base/init_google.h"
#include "ortools/base/logging.h"
#include "ortools/sat/cp_model.h"
#include "ortools/sat/cp_model.pb.h"
#include "ortools/sat/model.h"
// Problem main flags.
ABSL_FLAG(int, num_teams, 10, "Number of teams in the problem.");
ABSL_FLAG(std::string, params,
"log_search_progress:true,max_time_in_seconds:20", "Sat parameters.");
ABSL_FLAG(int, model, 1, "1 = opponent model, 2 = fixture model");
namespace operations_research {
namespace sat {
void OpponentModel(int num_teams) {
const int num_days = 2 * num_teams - 2;
const int kNoRematch = 6;
CpModelBuilder builder;
// Calendar variables.
std::vector<std::vector<IntVar>> opponents(num_teams);
std::vector<std::vector<BoolVar>> home_aways(num_teams);
std::vector<std::vector<IntVar>> signed_opponents(num_teams);
for (int t = 0; t < num_teams; ++t) {
for (int d = 0; d < num_days; ++d) {
Domain opponent_domain(0, num_teams - 1);
Domain signed_opponent_domain(0, 2 * num_teams - 1);
IntVar opp = builder.NewIntVar(opponent_domain)
.WithName(absl::StrCat("opponent_", t, "_", d));
BoolVar home =
builder.NewBoolVar().WithName(absl::StrCat("home_aways", t, "_", d));
IntVar signed_opp =
builder.NewIntVar(signed_opponent_domain)
.WithName(absl::StrCat("signed_opponent_", t, "_", d));
opponents[t].push_back(opp);
home_aways[t].push_back(home);
signed_opponents[t].push_back(signed_opp);
// One team cannot meet itself.
builder.AddNotEqual(opp, t);
builder.AddNotEqual(signed_opp, t);
builder.AddNotEqual(signed_opp, t + num_teams);
// Link opponent, home_away, and signed_opponent.
builder.AddEquality(opp, signed_opp).OnlyEnforceIf(~home);
builder.AddEquality(opp + num_teams, signed_opp).OnlyEnforceIf(home);
}
}
// One day constraints.
for (int d = 0; d < num_days; ++d) {
std::vector<IntVar> day_opponents;
std::vector<IntVar> day_home_aways;
for (int t = 0; t < num_teams; ++t) {
day_opponents.push_back(opponents[t][d]);
day_home_aways.push_back(IntVar(home_aways[t][d]));
}
builder.AddInverseConstraint(day_opponents, day_opponents);
for (int first_team = 0; first_team < num_teams; ++first_team) {
const IntVar first_home = IntVar(day_home_aways[first_team]);
const IntVar second_home = IntVar(builder.NewBoolVar());
builder.AddVariableElement(day_opponents[first_team], day_home_aways,
second_home);
builder.AddEquality(first_home + second_home, 1);
}
builder.AddEquality(LinearExpr::Sum(day_home_aways), num_teams / 2);
}
// One team constraints.
for (int t = 0; t < num_teams; ++t) {
builder.AddAllDifferent(signed_opponents[t]);
const std::vector<IntVar> first_part(opponents[t].begin(),
opponents[t].begin() + num_teams - 1);
builder.AddAllDifferent(first_part);
const std::vector<IntVar> second_part(opponents[t].begin() + num_teams - 1,
opponents[t].end());
builder.AddAllDifferent(second_part);
for (int day = num_teams - kNoRematch; day < num_teams - 1; ++day) {
const std::vector<IntVar> moving(opponents[t].begin() + day,
opponents[t].begin() + day + kNoRematch);
builder.AddAllDifferent(moving);
}
builder.AddEquality(LinearExpr::Sum(home_aways[t]), num_teams - 1);
// Forbid sequence of 3 homes or 3 aways.
for (int start = 0; start < num_days - 2; ++start) {
builder.AddBoolOr({home_aways[t][start], home_aways[t][start + 1],
home_aways[t][start + 2]});
builder.AddBoolOr({~home_aways[t][start], ~home_aways[t][start + 1],
~home_aways[t][start + 2]});
}
}
// Objective.
std::vector<BoolVar> breaks;
for (int t = 0; t < num_teams; ++t) {
for (int d = 0; d < num_days - 1; ++d) {
BoolVar break_var =
builder.NewBoolVar().WithName(absl::StrCat("break_", t, "_", d));
builder.AddBoolOr({~home_aways[t][d], ~home_aways[t][d + 1], break_var});
builder.AddBoolOr({home_aways[t][d], home_aways[t][d + 1], break_var});
breaks.push_back(break_var);
}
}
builder.Minimize(LinearExpr::Sum(breaks));
Model model;
if (!absl::GetFlag(FLAGS_params).empty()) {
model.Add(NewSatParameters(absl::GetFlag(FLAGS_params)));
}
const CpSolverResponse response = SolveCpModel(builder.Build(), &model);
LOG(INFO) << CpSolverResponseStats(response);
if (response.status() == CpSolverStatus::OPTIMAL ||
response.status() == CpSolverStatus::FEASIBLE) {
for (int t = 0; t < num_teams; ++t) {
std::string output;
for (int d = 0; d < num_days; ++d) {
const int opponent = SolutionIntegerValue(response, opponents[t][d]);
const bool home = SolutionBooleanValue(response, home_aways[t][d]);
if (home) {
absl::StrAppendFormat(&output, " %2d@", opponent);
} else {
absl::StrAppendFormat(&output, " %2d ", opponent);
}
}
LOG(INFO) << output;
}
}
}
void FixtureModel(int num_teams) {
const int num_days = 2 * num_teams - 2;
// const int kNoRematch = 6;
const int matches_per_day = num_teams - 1;
CpModelBuilder builder;
// Does team i receive team j at home on day d?
std::vector<std::vector<std::vector<BoolVar>>> fixtures(num_days);
for (int d = 0; d < num_days; ++d) {
fixtures[d].resize(num_teams);
for (int i = 0; i < num_teams; ++i) {
fixtures[d][i].resize(num_teams);
for (int j = 0; j < num_teams; ++j) {
if (i == j) {
fixtures[d][i][i] = builder.FalseVar();
} else {
fixtures[d][i][j] = builder.NewBoolVar();
}
}
}
}
// Is team t at home on day d?
std::vector<std::vector<BoolVar>> at_home(num_days);
for (int d = 0; d < num_days; ++d) {
for (int t = 0; t < num_teams; ++t) {
at_home[d].push_back(builder.NewBoolVar());
}
}
// Each day, Team t plays another team, either at home or away.
for (int d = 0; d < num_days; ++d) {
for (int team = 0; team < num_teams; ++team) {
std::vector<BoolVar> possible_opponents;
for (int other = 0; other < num_teams; ++other) {
if (team == other) continue;
possible_opponents.push_back(fixtures[d][team][other]);
possible_opponents.push_back(fixtures[d][other][team]);
}
builder.AddEquality(LinearExpr::Sum(possible_opponents), 1);
}
}
// Each fixture happens once per season.
for (int team = 0; team < num_teams; ++team) {
for (int other = 0; other < num_teams; ++other) {
if (team == other) continue;
std::vector<BoolVar> possible_days;
for (int d = 0; d < num_days; ++d) {
possible_days.push_back(fixtures[d][team][other]);
}
builder.AddEquality(LinearExpr::Sum(possible_days), 1);
}
}
// Meet each opponent once per season.
for (int team = 0; team < num_teams; ++team) {
for (int other = 0; other < num_teams; ++other) {
if (team == other) continue;
std::vector<BoolVar> first_half;
std::vector<BoolVar> second_half;
for (int d = 0; d < matches_per_day; ++d) {
first_half.push_back(fixtures[d][team][other]);
first_half.push_back(fixtures[d][other][team]);
second_half.push_back(fixtures[d + matches_per_day][team][other]);
second_half.push_back(fixtures[d + matches_per_day][other][team]);
}
builder.AddEquality(LinearExpr::Sum(first_half), 1);
builder.AddEquality(LinearExpr::Sum(second_half), 1);
}
}
// Maintain at_home[day][team].
for (int d = 0; d < num_days; ++d) {
for (int team = 0; team < num_teams; ++team) {
for (int other = 0; other < num_teams; ++other) {
if (team == other) continue;
builder.AddImplication(fixtures[d][team][other], at_home[d][team]);
builder.AddImplication(fixtures[d][team][other], ~at_home[d][other]);
}
}
}
// Forbid sequence of 3 homes or 3 aways.
for (int team = 0; team < num_teams; ++team) {
for (int d = 0; d < num_days - 2; ++d) {
builder.AddBoolOr(
{at_home[d][team], at_home[d + 1][team], at_home[d + 2][team]});
builder.AddBoolOr(
{~at_home[d][team], ~at_home[d + 1][team], ~at_home[d + 2][team]});
}
}
// Objective.
std::vector<BoolVar> breaks;
for (int t = 0; t < num_teams; ++t) {
for (int d = 0; d < num_days - 1; ++d) {
BoolVar break_var = builder.NewBoolVar();
builder.AddBoolOr({~at_home[d][t], ~at_home[d + 1][t], break_var});
builder.AddBoolOr({at_home[d][t], at_home[d + 1][t], break_var});
builder.AddBoolOr({~at_home[d][t], at_home[d + 1][t], ~break_var});
builder.AddBoolOr({at_home[d][t], ~at_home[d + 1][t], ~break_var});
breaks.push_back(break_var);
}
}
builder.AddGreaterOrEqual(LinearExpr::Sum(breaks), 2 * num_teams - 4);
builder.Minimize(LinearExpr::Sum(breaks));
Model model;
if (!absl::GetFlag(FLAGS_params).empty()) {
model.Add(NewSatParameters(absl::GetFlag(FLAGS_params)));
}
const CpSolverResponse response = SolveCpModel(builder.Build(), &model);
LOG(INFO) << CpSolverResponseStats(response);
}
} // namespace sat
} // namespace operations_research
static const char kUsage[] =
"Usage: see flags.\nThis program runs a sports scheduling problem."
"There is no output besides the LOGs of the solver.";
int main(int argc, char** argv) {
absl::SetFlag(&FLAGS_stderrthreshold, 0);
InitGoogle(kUsage, &argc, &argv, true);
CHECK_EQ(0, absl::GetFlag(FLAGS_num_teams) % 2)
<< "The number of teams must be even";
CHECK_GE(absl::GetFlag(FLAGS_num_teams), 2) << "At least 2 teams";
if (absl::GetFlag(FLAGS_model) == 1) {
operations_research::sat::OpponentModel(absl::GetFlag(FLAGS_num_teams));
} else {
operations_research::sat::FixtureModel(absl::GetFlag(FLAGS_num_teams));
}
return EXIT_SUCCESS;
}