2018 XCSP3 competition: parallel solvers tracks: solvers results per benchmarks

Result page for benchmark
SteelMillSlab/
SteelMillSlab-m1-simple_c18.xml

Jump to solvers results

General information on the benchmark

NameSteelMillSlab/
SteelMillSlab-m1-simple_c18.xml
MD5SUM5b0471201a80cf29b9165f742e9eb3a6
Bench CategoryCOP (optimization problem)
Best result obtained on this benchmarkOPT
Best value of the objective obtained on this benchmark0
Best CPU time to get the best result obtained on this benchmark2.54442
Satisfiable
(Un)Satisfiability was proved
Number of variables30
Number of constraints33
Number of domains3
Minimum domain size5
Maximum domain size19
Distribution of domain sizes[{"size":5,"count":10},{"size":10,"count":10},{"size":19,"count":10}]
Minimum variable degree2
Maximum variable degree21
Distribution of variable degrees[{"degree":2,"count":10},{"degree":4,"count":10},{"degree":20,"count":8},{"degree":21,"count":2}]
Minimum constraint arity2
Maximum constraint arity11
Distribution of constraint arities[{"arity":2,"count":11},{"arity":10,"count":12},{"arity":11,"count":10}]
Number of extensional constraints10
Number of intensional constraints1
Distribution of constraint types[{"type":"extension","count":10},{"type":"intension","count":1},{"type":"ordered","count":1},{"type":"sum","count":21}]
Optimization problemYES
Type of objectivemin SUM

Results of the different solvers on this benchmark

Solver NameTraceIDAnswerobjective functionCPU timeWall clock time
Choco-solver 4.0.7b par (e747e1e) (complete)4297543OPT0 2.54442 0.882122
OscaR - Parallel with EPS 2018-08-14 (complete)4308899OPT0 7.45202 2.69769
OscaR - Parallel with EPS 2018-07-02 (complete)4291130OPT0 7.51373 2.64654

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: 0
Solution found:
<instantiation> <list>slab[0] slab[1] slab[2] slab[3] slab[4] slab[5] slab[6] slab[7] slab[8] slab[9] load[0] load[1] load[2] load[3]
load[4] load[5] load[6] load[7] load[8] load[9] loss[0] loss[1] loss[2] loss[3] loss[4] loss[5] loss[6] loss[7] loss[8] loss[9] </list>
<values>0 0 0 0 1 2 1 1 3 3 15 15 11 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 </values> </instantiation>