2018 XCSP3 competition: mini-solvers track: solvers results per benchmarks

Result page for benchmark
GolombRuler/
GolombRuler-a3v18-07_c18.xml

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General information on the benchmark

NameGolombRuler/
GolombRuler-a3v18-07_c18.xml
MD5SUMe42a0bd121bf3364b1a4e345eaac980a
Bench CategoryCOP (optimization problem)
Best result obtained on this benchmarkOPT
Best value of the objective obtained on this benchmark25
Best CPU time to get the best result obtained on this benchmark0.040288
Satisfiable
(Un)Satisfiability was proved
Number of variables56
Number of constraints22
Number of domains2
Minimum domain size49
Maximum domain size50
Distribution of domain sizes[{"size":49,"count":21},{"size":50,"count":7}]
Minimum variable degree0
Maximum variable degree7
Distribution of variable degrees[{"degree":0,"count":28},{"degree":2,"count":21},{"degree":6,"count":6},{"degree":7,"count":1}]
Minimum constraint arity3
Maximum constraint arity21
Distribution of constraint arities[{"arity":3,"count":21},{"arity":21,"count":1}]
Number of extensional constraints0
Number of intensional constraints21
Distribution of constraint types[{"type":"intension","count":21},{"type":"allDifferent","count":1}]
Optimization problemYES
Type of objectivemin VAR

Results of the different solvers on this benchmark

Solver NameTraceIDAnswerobjective functionCPU timeWall clock time
cosoco 1.12 (complete)4299381OPT25 0.040288 0.0421409
Solver of Xavier Schul & Yvhan Smal 2018-04-28 (incomplete)4299385OPT25 2.09253 0.887805
SuperSolver_Macq_Stevenart 2018-04-27 (incomplete)4299386SAT25 302.907 300.338
slowpoke 2018-04-29 (incomplete)4299384SAT (TO)25 2520.04 2508.42
The dodo solver 2018-04-29 (complete)4299387SAT (TO)25 2520.05 2515.21
GG's minicp 2018-04-29 (complete)4299382SAT (TO)27 2520.04 2507.81
MiniCPFever 2018-04-29 (complete)4299383Wrong UNSAT 1.8449 0.751689

Additionnal information

This section presents information obtained from the best job displayed in the list (i.e. solvers whose names are not hidden).

objective function: 25
Solution found:
<instantiation type='solution' cost='25'> <list>x[0] x[1] x[2] x[3] x[4] x[5] x[6] y[0][0] y[0][1] y[0][2] y[0][3] y[0][4] y[0][5] y[0][6]
y[1][0] y[1][1] y[1][2] y[1][3] y[1][4] y[1][5] y[1][6] y[2][0] y[2][1] y[2][2] y[2][3] y[2][4] y[2][5] y[2][6] y[3][0] y[3][1] y[3][2]
y[3][3] y[3][4] y[3][5] y[3][6] y[4][0] y[4][1] y[4][2] y[4][3] y[4][4] y[4][5] y[4][6] y[5][0] y[5][1] y[5][2] y[5][3] y[5][4] y[5][5]
y[5][6] y[6][0] y[6][1] y[6][2] y[6][3] y[6][4] y[6][5] y[6][6] </list> <values>0 2 3 10 16 21 25 * 2 3 10 16 21 25 * * 1 8 14 19 23 * * * 7
13 18 22 * * * * 6 11 15 * * * * * 5 9 * * * * * * 4 * * * * * * * </values> </instantiation>