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

Result page for benchmark
PizzaVoucher/
PizzaVoucher-10b_c18.xml

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General information on the benchmark

NamePizzaVoucher/
PizzaVoucher-10b_c18.xml
MD5SUM2b2c64c71c05a1ba529c691595973c48
Bench CategoryCOP (optimization problem)
Best result obtained on this benchmarkOPT
Best value of the objective obtained on this benchmark28
Best CPU time to get the best result obtained on this benchmark12.7917
Satisfiable
(Un)Satisfiability was proved
Number of variables38
Number of constraints79
Number of domains14
Minimum domain size1
Maximum domain size19
Distribution of domain sizes[{"size":1,"count":2},{"size":2,"count":21},{"size":3,"count":3},{"size":4,"count":2},{"size":19,"count":10}]
Minimum variable degree2
Maximum variable degree28
Distribution of variable degrees[{"degree":2,"count":28},{"degree":27,"count":6},{"degree":28,"count":4}]
Minimum constraint arity2
Maximum constraint arity11
Distribution of constraint arities[{"arity":2,"count":61},{"arity":11,"count":18}]
Number of extensional constraints0
Number of intensional constraints61
Distribution of constraint types[{"type":"intension","count":61},{"type":"count","count":18}]
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)4297476OPT28 12.7917 2.21074
OscaR - Parallel with EPS 2018-08-14 (complete)4308832OPT28 501.005 64.8074
OscaR - Parallel with EPS 2018-07-02 (complete)4291063OPT28 501.389 64.9115

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: 28
Solution found:
<instantiation> <list>v[0] v[1] v[2] v[3] v[4] v[5] v[6] v[7] v[8] v[9] np[0] np[1] np[2] np[3] np[4] np[5] np[6] np[7] np[8] nf[0] nf[1]
nf[2] nf[3] nf[4] nf[5] nf[6] nf[7] nf[8] pp[0] pp[1] pp[2] pp[3] pp[4] pp[5] pp[6] pp[7] pp[8] pp[9] </list> <values>2 2 4 -2 1 -1 0 2 -2 1
1 2 0 0 0 0 0 0 0 2 3 0 1 0 0 0 0 0 0 0 0 7 0 10 4 0 7 0 </values> </instantiation>