Scippy

SCIP

Solving Constraint Integer Programs

branch_multinode.c
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1/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
2/* */
3/* This file is part of the program and library */
4/* SCIP --- Solving Constraint Integer Programs */
5/* */
6/* Copyright (c) 2002-2024 Zuse Institute Berlin (ZIB) */
7/* */
8/* Licensed under the Apache License, Version 2.0 (the "License"); */
9/* you may not use this file except in compliance with the License. */
10/* You may obtain a copy of the License at */
11/* */
12/* http://www.apache.org/licenses/LICENSE-2.0 */
13/* */
14/* Unless required by applicable law or agreed to in writing, software */
15/* distributed under the License is distributed on an "AS IS" BASIS, */
16/* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. */
17/* See the License for the specific language governing permissions and */
18/* limitations under the License. */
19/* */
20/* You should have received a copy of the Apache-2.0 license */
21/* along with SCIP; see the file LICENSE. If not visit scipopt.org. */
22/* */
23/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
24
25/**@file branch_multinode.c
26 * @brief mutlinode branching rule for the set-partitioning part in cycle clustering application.
27 * @author Leon Eifler
28 */
29
30/*---+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+----0----+----1----+----2*/
31
32#include <assert.h>
33
34#include "branch_multinode.h"
35
36#include "probdata_cyc.h"
38
39
40#define BRANCHRULE_NAME "multinode"
41#define BRANCHRULE_DESC "multinode branching creates a child for every variable of a setpartitioning constraint"
42#define BRANCHRULE_PRIORITY 10000000
43#define BRANCHRULE_MAXDEPTH -1
44#define BRANCHRULE_MAXBOUNDDIST 1.0
45
46/*
47 * Local methods
48 */
49
50/* put your local methods here, and declare them static */
51
52/** get the branching candidates viable for multinode branching */
53static
55 SCIP* scip, /**< SCIP data structure */
56 SCIP_VAR** branchcands, /**< the address of the branching candidates */
57 SCIP_Real* branchcandssol, /**< pointer to solution values of the candidates */
58 SCIP_Real* branchcandsfrac, /**< pointer to fractionalities of the candidates */
59 int* ncands /**< number of branching candidates */
60 )
61{
62 SCIP_VAR*** binvars;
63 int nbins;
64 int ncluster;
65 int i;
66 int k;
67
68 nbins = SCIPcycGetNBins(scip);
69 ncluster = SCIPcycGetNCluster(scip);
70 binvars = SCIPcycGetBinvars(scip);
71
72 /* all binvars that are in the lp, and have fractional values are viable candidates */
73 for( i = 0; i < nbins; ++i )
74 {
75 for( k = 0; k < ncluster; ++k )
76 {
77 if( SCIPvarGetStatus(binvars[i][k]) == SCIP_VARSTATUS_COLUMN
78 && !SCIPisFeasIntegral(scip, SCIPvarGetLPSol(binvars[i][k])) )
79 {
80 (branchcands)[*ncands] = binvars[i][k];
81 (branchcandssol)[*ncands] = SCIPvarGetLPSol(binvars[i][k]);
82 (branchcandsfrac)[*ncands] = MAX(1-(branchcandssol)[*ncands], (branchcandssol)[*ncands]);
83 (*ncands)++;
84 }
85 }
86 }
87
88 return SCIP_OKAY;
89}
90
91/** branch on a selected bin -> Create at most |Cluster| children */
92static
94 SCIP* scip, /**< SCIP data structure */
95 int row, /**< the row in the binvar-matrix (not lp-row) to be branched on */
96 SCIP_RESULT* result /**< pointer to store result of branching */
97 )
98{
99 SCIP_VAR*** binvars;
100 SCIP_Bool* branched;
101 SCIP_Real priority;
102 SCIP_Real estimate;
103 SCIP_Real minestzero = SCIP_INVALID;
104 SCIP_Real tmp;
105 SCIP_NODE* node;
106 int ncands = 0;
107 int k;
108 int ncluster;
109
110 binvars = SCIPcycGetBinvars(scip);
111 ncluster = SCIPcycGetNCluster(scip);
112 assert(NULL != binvars[row]);
113
114 SCIP_CALL( SCIPallocClearBufferArray(scip, &branched, ncluster) );
115
116 /* check all candidates */
117 for( k = 0; k < ncluster; ++k )
118 {
119 if( (SCIPvarGetStatus(binvars[row][k]) == SCIP_VARSTATUS_LOOSE ||
120 SCIPvarGetStatus(binvars[row][k]) == SCIP_VARSTATUS_COLUMN) &&
121 !SCIPisZero(scip, SCIPvarGetLPSol(binvars[row][k])) && !SCIPisEQ(scip, SCIPvarGetLPSol(binvars[row][k]), 1.0) )
122 {
123 ncands++;
124 priority = SCIPcalcNodeselPriority(scip, binvars[row][k], SCIP_BRANCHDIR_UPWARDS, 1.0);
125 estimate = SCIPcalcChildEstimate(scip, binvars[row][k], 1.0);
126 tmp = SCIPcalcChildEstimate(scip, binvars[row][k], 0.0);
127 minestzero = MIN(tmp, minestzero);
128
129 /* branch all viable candidates upwards */
130 SCIP_CALL( SCIPcreateChild(scip, &node, priority, estimate) );
131 SCIP_CALL( SCIPchgVarLbNode(scip, node, binvars[row][k], 1.0) );
132
133 branched[k] = TRUE;
134
135 *result = SCIP_BRANCHED;
136 if( ncands > 2 )
137 break;
138 }
139 }
140
141 /* create one child, were all the before upwards branched variables are now set to 0. Only do so if at least one
142 * upwards branching was done and if not all the variables were branched upwards
143 */
144 if( ncands > 0 && ncands < ncluster )
145 {
146 SCIP_CALL( SCIPcreateChild(scip, &node, (SCIP_Real)ncands, minestzero) );
147 for( k = 0; k < ncluster; ++k )
148 {
149 if( branched[k] )
150 {
151 SCIP_CALL( SCIPchgVarUbNode(scip, node, binvars[row][k], 0.0) );
152 }
153 }
154 }
155
156 SCIPfreeBufferArray(scip, &branched);
157
158 return SCIP_OKAY;
159}
160
161/*
162 * Callback methods of branching rule
163 */
164
165/** branching execution method for fractional LP solutions */
166static
167SCIP_DECL_BRANCHEXECLP(branchExeclpMultinode)
168{ /*lint --e{715}*/
169 int i;
170 int k;
171 int nbins;
172 int ncluster;
173 int ncands;
174
175 SCIP_Real* score;
176 SCIP_Real max;
177 int maxrow;
178 SCIP_VAR*** binvars;
179 SCIP_VAR** branchcands;
180 SCIP_Real* branchcandssol;
181 SCIP_Real* branchcandsfrac;
182
183 binvars = SCIPcycGetBinvars(scip);
184 nbins = SCIPcycGetNBins(scip);
185 ncluster = SCIPcycGetNCluster(scip);
186 *result = SCIP_DIDNOTRUN;
187
188 assert(nbins > 0);
189 assert(ncluster > 0 && ncluster <= nbins);
190
191 SCIP_CALL( SCIPallocClearBufferArray(scip, &score, nbins) );
192 SCIP_CALL( SCIPallocClearBufferArray(scip, &branchcands, (SCIP_Longint) nbins * ncluster) );
193 SCIP_CALL( SCIPallocClearBufferArray(scip, &branchcandssol, (SCIP_Longint) nbins * ncluster) );
194 SCIP_CALL( SCIPallocClearBufferArray(scip, &branchcandsfrac, (SCIP_Longint) nbins * ncluster) );
195
196 ncands = 0;
197 /* get the candidates */
198 SCIP_CALL( getBranchCands( scip, branchcands, branchcandssol, branchcandsfrac, &ncands) );
199 if( ncands != 0 )
200 {
201 /* compute the relpcost for the candidates */
202 SCIP_CALL( SCIPexecRelpscostBranching(scip, branchcands, branchcandssol, branchcandsfrac, ncands, FALSE, result) );
203
204 assert(*result == SCIP_DIDNOTRUN || *result == SCIP_CUTOFF || *result == SCIP_REDUCEDDOM);
205
206 if( *result != SCIP_CUTOFF && *result != SCIP_REDUCEDDOM )
207 {
208 maxrow = -1;
209 max = -SCIPinfinity(scip);
210
211 /* compute the best candidate from pseudocostscore */
212 for( i = 0; i < nbins; ++i )
213 {
214 score[i] = 0;
215
216 for( k = 0; k < ncluster; ++k )
217 {
218 /* Do not branch on variables that are already fixed locally */
219 if( SCIPisEQ(scip, SCIPvarGetUbLocal(binvars[i][k]), SCIPvarGetLbLocal(binvars[i][k])) )
220 {
221 score[i] = -SCIPinfinity(scip);
222 break;
223 }
224
225 if( SCIPvarGetStatus(binvars[i][k]) == SCIP_VARSTATUS_COLUMN &&
226 !SCIPisZero(scip, SCIPvarGetLPSol(binvars[i][k])) &&
227 !SCIPisEQ(scip, SCIPvarGetLPSol(binvars[i][k]), 1.0) )
228 {
229 score[i] += SCIPgetVarPseudocostScore(scip, binvars[i][k], SCIPvarGetLPSol(binvars[i][k]));
230 }
231 }
232
233 if( SCIPisLT(scip, max, score[i]) && !SCIPisInfinity(scip, -score[i]) )
234 {
235 max = score[i];
236 maxrow = i;
237 }
238 }
239
240 if( -1 != maxrow )
241 {
242 SCIP_CALL( branchOnBin(scip, maxrow, result) );
243 }
244 }
245 }
246
247 /* free memory */
248 SCIPfreeBufferArray(scip, &score);
249 SCIPfreeBufferArray(scip, &branchcands);
250 SCIPfreeBufferArray(scip, &branchcandssol);
251 SCIPfreeBufferArray(scip, &branchcandsfrac);
252
253 return SCIP_OKAY;
254}
255
256/*
257 * branching rule specific interface methods
258 */
259
260/** creates the mutlinode branching rule and includes it in SCIP */
262 SCIP* scip /**< SCIP data structure */
263 )
264{
265 SCIP_BRANCHRULEDATA* branchruledata;
266 SCIP_BRANCHRULE* branchrule;
267
268 branchruledata = NULL;
269
270 /* include branching rule */
271 /* use SCIPincludeBranchruleBasic() plus setter functions if you want to set callbacks one-by-one
272 * and your code should compile independent of new callbacks being added in future SCIP versions
273 */
276
277 assert(branchrule != NULL);
278
279 /* set non fundamental callbacks via setter functions */
280 SCIP_CALL( SCIPsetBranchruleExecLp(scip, branchrule, branchExeclpMultinode) );
281
282 return SCIP_OKAY;
283}
#define BRANCHRULE_DESC
#define BRANCHRULE_PRIORITY
SCIP_RETCODE SCIPincludeBranchruleMultinode(SCIP *scip)
static SCIP_RETCODE branchOnBin(SCIP *scip, int row, SCIP_RESULT *result)
#define BRANCHRULE_NAME
static SCIP_RETCODE getBranchCands(SCIP *scip, SCIP_VAR **branchcands, SCIP_Real *branchcandssol, SCIP_Real *branchcandsfrac, int *ncands)
static SCIP_DECL_BRANCHEXECLP(branchExeclpMultinode)
#define BRANCHRULE_MAXDEPTH
#define BRANCHRULE_MAXBOUNDDIST
multinode branching rule
reliable pseudo costs branching rule
#define NULL
Definition: def.h:267
#define SCIP_Longint
Definition: def.h:158
#define SCIP_INVALID
Definition: def.h:193
#define SCIP_Bool
Definition: def.h:91
#define MIN(x, y)
Definition: def.h:243
#define SCIP_Real
Definition: def.h:173
#define TRUE
Definition: def.h:93
#define FALSE
Definition: def.h:94
#define MAX(x, y)
Definition: def.h:239
#define SCIP_CALL(x)
Definition: def.h:374
SCIP_RETCODE SCIPexecRelpscostBranching(SCIP *scip, SCIP_VAR **branchcands, SCIP_Real *branchcandssol, SCIP_Real *branchcandsfrac, int nbranchcands, SCIP_Bool executebranching, SCIP_RESULT *result)
SCIP_RETCODE SCIPsetBranchruleExecLp(SCIP *scip, SCIP_BRANCHRULE *branchrule, SCIP_DECL_BRANCHEXECLP((*branchexeclp)))
Definition: scip_branch.c:249
SCIP_RETCODE SCIPincludeBranchruleBasic(SCIP *scip, SCIP_BRANCHRULE **branchruleptr, const char *name, const char *desc, int priority, int maxdepth, SCIP_Real maxbounddist, SCIP_BRANCHRULEDATA *branchruledata)
Definition: scip_branch.c:116
SCIP_Real SCIPcalcNodeselPriority(SCIP *scip, SCIP_VAR *var, SCIP_BRANCHDIR branchdir, SCIP_Real targetvalue)
Definition: scip_branch.c:920
SCIP_Real SCIPcalcChildEstimate(SCIP *scip, SCIP_VAR *var, SCIP_Real targetvalue)
Definition: scip_branch.c:947
SCIP_RETCODE SCIPcreateChild(SCIP *scip, SCIP_NODE **node, SCIP_Real nodeselprio, SCIP_Real estimate)
Definition: scip_branch.c:1017
#define SCIPallocClearBufferArray(scip, ptr, num)
Definition: scip_mem.h:126
#define SCIPfreeBufferArray(scip, ptr)
Definition: scip_mem.h:136
SCIP_Real SCIPinfinity(SCIP *scip)
SCIP_Bool SCIPisInfinity(SCIP *scip, SCIP_Real val)
SCIP_Bool SCIPisFeasIntegral(SCIP *scip, SCIP_Real val)
SCIP_Bool SCIPisEQ(SCIP *scip, SCIP_Real val1, SCIP_Real val2)
SCIP_Bool SCIPisZero(SCIP *scip, SCIP_Real val)
SCIP_Bool SCIPisLT(SCIP *scip, SCIP_Real val1, SCIP_Real val2)
SCIP_VARSTATUS SCIPvarGetStatus(SCIP_VAR *var)
Definition: var.c:17538
SCIP_Real SCIPvarGetUbLocal(SCIP_VAR *var)
Definition: var.c:18144
SCIP_RETCODE SCIPchgVarUbNode(SCIP *scip, SCIP_NODE *node, SCIP_VAR *var, SCIP_Real newbound)
Definition: scip_var.c:4890
SCIP_Real SCIPvarGetLPSol(SCIP_VAR *var)
Definition: var.c:18452
SCIP_Real SCIPvarGetLbLocal(SCIP_VAR *var)
Definition: var.c:18134
SCIP_RETCODE SCIPchgVarLbNode(SCIP *scip, SCIP_NODE *node, SCIP_VAR *var, SCIP_Real newbound)
Definition: scip_var.c:4846
SCIP_Real SCIPgetVarPseudocostScore(SCIP *scip, SCIP_VAR *var, SCIP_Real solval)
Definition: scip_var.c:9103
int SCIPcycGetNBins(SCIP *scip)
int SCIPcycGetNCluster(SCIP *scip)
SCIP_VAR *** SCIPcycGetBinvars(SCIP *scip)
problem data for cycle clustering problem
struct SCIP_BranchruleData SCIP_BRANCHRULEDATA
Definition: type_branch.h:57
@ SCIP_BRANCHDIR_UPWARDS
Definition: type_history.h:44
@ SCIP_DIDNOTRUN
Definition: type_result.h:42
@ SCIP_CUTOFF
Definition: type_result.h:48
@ SCIP_REDUCEDDOM
Definition: type_result.h:51
@ SCIP_BRANCHED
Definition: type_result.h:54
enum SCIP_Result SCIP_RESULT
Definition: type_result.h:61
@ SCIP_OKAY
Definition: type_retcode.h:42
enum SCIP_Retcode SCIP_RETCODE
Definition: type_retcode.h:63
@ SCIP_VARSTATUS_COLUMN
Definition: type_var.h:51
@ SCIP_VARSTATUS_LOOSE
Definition: type_var.h:50