2018 XCSP3 competition: fast COP track: solvers results per benchmarks

Result page for benchmark
GraphColoring/
GraphColoring-queen5-5_c18.xml

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General information on the benchmark

NameGraphColoring/
GraphColoring-queen5-5_c18.xml
MD5SUMe12c8a42b46a63e49e1504c0c9e3cd93
Bench CategoryCOP (optimization problem)
Best result obtained on this benchmarkOPT
Best value of the objective obtained on this benchmark4
Best CPU time to get the best result obtained on this benchmark0.031522
Satisfiable
(Un)Satisfiability was proved
Number of variables25
Number of constraints160
Number of domains1
Minimum domain size25
Maximum domain size25
Distribution of domain sizes[{"size":25,"count":25}]
Minimum variable degree13
Maximum variable degree17
Distribution of variable degrees[{"degree":13,"count":16},{"degree":15,"count":8},{"degree":17,"count":1}]
Minimum constraint arity2
Maximum constraint arity2
Distribution of constraint arities[{"arity":2,"count":160}]
Number of extensional constraints0
Number of intensional constraints160
Distribution of constraint types[{"type":"intension","count":160}]
Optimization problemYES
Type of objectivemin MAXIMUM

Results of the different solvers on this benchmark

Solver NameTraceIDAnswerobjective functionCPU timeWall clock time
Mistral-2.0 2018-08-01 (complete)4312501OPT4 0.030789 0.0317289
cosoco 1.12 (complete)4301395OPT4 0.031522 0.031423
Choco-solver 4.0.7b seq (e747e1e) (complete)4301393OPT4 1.25432 0.602955
OscaR - Conflict Ordering with restarts 2018-08-17 (complete)4312130OPT4 1.99269 1.52955
OscaR - Hybrid 2018-08-14 (complete)4310270OPT4 2.00847 1.18279
Sat4j-CSP 2018-07-11 (complete)4301394OPT4 3.08022 1.58842
Concrete 3.9.2-SuperNG (complete)4302644OPT4 7.14146 3.62192
Concrete 3.9.2 (complete)4302294OPT4 7.63924 3.67703
OscaR - Conflict Ordering with restarts 2018-08-14 (complete)4309920SAT4 251.844 247.369

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: 4
Solution found:
<instantiation type="optimum" cost="4"> <list> x[0] x[1] x[2] x[3] x[4] x[5] x[6] x[7] x[8] x[9] x[10] x[11] x[12] x[13] x[14] x[15] x[16]
x[17] x[18] x[19] x[20] x[21] x[22] x[23] x[24] </list> <values> 3 0 4 1 2 4 1 2 3 0 2 3 0 4 1 0 4 1 2 3 1 2 3 0 4 </values>
</instantiation>