Name | GolombRuler/ GolombRuler-a3v18-07_c18.xml |
MD5SUM | e42a0bd121bf3364b1a4e345eaac980a |
Bench Category | COP (optimization problem) |
Best result obtained on this benchmark | OPT |
Best value of the objective obtained on this benchmark | 25 |
Best CPU time to get the best result obtained on this benchmark | 0.040288 |
Satisfiable | |
(Un)Satisfiability was proved | |
Number of variables | 56 |
Number of constraints | 22 |
Number of domains | 2 |
Minimum domain size | 49 |
Maximum domain size | 50 |
Distribution of domain sizes | [{"size":49,"count":21},{"size":50,"count":7}] |
Minimum variable degree | 0 |
Maximum variable degree | 7 |
Distribution of variable degrees | [{"degree":0,"count":28},{"degree":2,"count":21},{"degree":6,"count":6},{"degree":7,"count":1}] |
Minimum constraint arity | 3 |
Maximum constraint arity | 21 |
Distribution of constraint arities | [{"arity":3,"count":21},{"arity":21,"count":1}] |
Number of extensional constraints | 0 |
Number of intensional constraints | 21 |
Distribution of constraint types | [{"type":"intension","count":21},{"type":"allDifferent","count":1}] |
Optimization problem | YES |
Type of objective | min VAR |
Solver Name | TraceID | Answer | objective function | CPU time | Wall clock time |
---|---|---|---|---|---|
cosoco 1.12 (complete) | 4299381 | OPT | 25 | 0.040288 | 0.0421409 |
Solver of Xavier Schul & Yvhan Smal 2018-04-28 (incomplete) | 4299385 | OPT | 25 | 2.09253 | 0.887805 |
SuperSolver_Macq_Stevenart 2018-04-27 (incomplete) | 4299386 | SAT | 25 | 302.907 | 300.338 |
slowpoke 2018-04-29 (incomplete) | 4299384 | SAT (TO) | 25 | 2520.04 | 2508.42 |
The dodo solver 2018-04-29 (complete) | 4299387 | SAT (TO) | 25 | 2520.05 | 2515.21 |
GG's minicp 2018-04-29 (complete) | 4299382 | SAT (TO) | 27 | 2520.04 | 2507.81 |
MiniCPFever 2018-04-29 (complete) | 4299383 | Wrong UNSAT | 1.8449 | 0.751689 |
This section presents information obtained from the best job displayed in the list (i.e. solvers whose names are not hidden).
objective function: 25<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>