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

Result page for benchmark
PeacableArmies/
PeacableArmies-m2-05_c18.xml

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General information on the benchmark

NamePeacableArmies/
PeacableArmies-m2-05_c18.xml
MD5SUM5e5be4f605afa886fe94f4d001b03361
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 benchmark0.505646
Satisfiable
(Un)Satisfiability was proved
Number of variables27
Number of constraints163
Number of domains2
Minimum domain size3
Maximum domain size12
Distribution of domain sizes[{"size":3,"count":25},{"size":12,"count":2}]
Minimum variable degree2
Maximum variable degree18
Distribution of variable degrees[{"degree":2,"count":1},{"degree":3,"count":1},{"degree":14,"count":16},{"degree":16,"count":8},{"degree":18,"count":1}]
Minimum constraint arity2
Maximum constraint arity26
Distribution of constraint arities[{"arity":2,"count":161},{"arity":26,"count":2}]
Number of extensional constraints0
Number of intensional constraints161
Distribution of constraint types[{"type":"intension","count":161},{"type":"count","count":2}]
Optimization problemYES
Type of objectivemax VAR

Results of the different solvers on this benchmark

Solver NameTraceIDAnswerobjective functionCPU timeWall clock time
Mistral-2.0 2018-08-01 (complete)4312690OPT4 0.447933 0.452945
cosoco 1.12 (complete)4301974OPT4 0.505646 0.507839
Choco-solver 4.0.7b seq (e747e1e) (complete)4301972OPT4 1.75198 0.765366
Sat4j-CSP 2018-07-11 (complete)4301973OPT4 1.79706 0.963455
OscaR - Conflict Ordering with restarts 2018-08-17 (complete)4312151OPT4 15.8458 13.3396
Concrete 3.9.2-SuperNG (complete)4302665OPT4 36.1192 25.3333
Concrete 3.9.2 (complete)4302315OPT4 44.4837 35.4016
OscaR - Hybrid 2018-08-14 (complete)4310291SAT (TO)4 252.077 245.126
OscaR - Conflict Ordering with restarts 2018-08-14 (complete)4309941SAT (TO)4 252.1 246.517

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][0] x[0][1] x[0][2] x[0][3] x[0][4] x[1][0] x[1][1] x[1][2] x[1][3] x[1][4] x[2][0]
x[2][1] x[2][2] x[2][3] x[2][4] x[3][0] x[3][1] x[3][2] x[3][3] x[3][4] x[4][0] x[4][1] x[4][2] x[4][3] x[4][4] nb nw </list> <values> 0 0 2
0 2 1 0 0 0 0 0 0 2 0 2 1 0 0 0 0 0 1 0 1 0 4 4 </values> </instantiation>