2017 XCSP3 competition: mini-solver track (sequential and parallel solvers): solvers results per benchmarks

Result page for benchmark
PseudoBoolean/PseudoBoolean-opt-routing/
Pb-routing-s3-3-3-1.xml

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General information on the benchmark

NamePseudoBoolean/PseudoBoolean-opt-routing/
Pb-routing-s3-3-3-1.xml
MD5SUMd246e7ee644c503b58cd0ccaee57aa1d
Bench CategoryCOP (optimization problem)
Best result obtained on this benchmarkOPT
Best value of the objective obtained on this benchmark36
Best CPU time to get the best result obtained on this benchmark0.34218401
Satisfiable
(Un)Satisfiability was proved
Number of variables216
Number of constraints584
Number of domains1
Minimum domain size2
Maximum domain size2
Distribution of domain sizes[{"size":2,"count":216}]
Minimum variable degree7
Maximum variable degree13
Distribution of variable degrees[{"degree":7,"count":28},{"degree":8,"count":116},{"degree":9,"count":2},{"degree":10,"count":14},{"degree":12,"count":12},{"degree":13,"count":44}]
Minimum constraint arity2
Maximum constraint arity18
Distribution of constraint arities[{"arity":2,"count":210},{"arity":3,"count":302},{"arity":4,"count":60},{"arity":18,"count":12}]
Number of extensional constraints0
Number of intensional constraints0
Distribution of constraint types[{"type":"sum","count":584}]
Optimization problemYES
Type of objectivemin SUM

Results of the different solvers on this benchmark

Solver NameTraceIDAnswerobjective functionCPU timeWall clock time
cosoco-mini 1.1 (2017-07-29) (complete)4259979OPT36 0.34218401 0.44580999
cosoco-mini 1.12 (complete)4267160OPT36 0.34393999 0.34490499
cosoco-mini 1.1 (2017-06-27) (complete)4253386OPT36 0.355418 0.356766
Naxos 1.1.0 (complete)4253387OPT36 18.8309 18.8318

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: 36
Solution found:
<instantiation type='solution' cost='-36'> <list>x[0] x[100] x[101] x[102] x[103] x[104] x[105] x[106] x[107] x[108] x[109] x[10] x[110]
x[111] x[112] x[113] x[114] x[115] x[116] x[117] x[118] x[119] x[11] x[120] x[121] x[122] x[123] x[124] x[125] x[126] x[127] x[128] x[129]
x[12] x[130] x[131] x[132] x[133] x[134] x[135] x[136] x[137] x[138] x[139] x[13] x[140] x[141] x[142] x[143] x[144] x[145] x[146] x[147]
x[148] x[149] x[14] x[150] x[151] x[152] x[153] x[154] x[155] x[156] x[157] x[158] x[159] x[15] x[160] x[161] x[162] x[163] x[164] x[165]
x[166] x[167] x[168] x[169] x[16] x[170] x[171] x[172] x[173] x[174] x[175] x[176] x[177] x[178] x[179] x[17] x[180] x[181] x[182] x[183]
x[184] x[185] x[186] x[187] x[188] x[189] x[18] x[190] x[191] x[192] x[193] x[194] x[195] x[196] x[197] x[198] x[199] x[19] x[1] x[200]
x[201] x[202] x[203] x[204] x[205] x[206] x[207] x[208] x[209] x[20] x[210] x[211] x[212] x[213] x[214] x[215] x[21] x[22] x[23] x[24] x[25]
x[26] x[27] x[28] x[29] x[2] x[30] x[31] x[32] x[33] x[34] x[35] x[36] x[37] x[38] x[39] x[3] x[40] x[41] x[42] x[43] x[44] x[45] x[46]
x[47] x[48] x[49] x[4] x[50] x[51] x[52] x[53] x[54] x[55] x[56] x[57] x[58] x[59] x[5] x[60] x[61] x[62] x[63] x[64] x[65] x[66] x[67]
x[68] x[69] x[6] x[70] x[71] x[72] x[73] x[74] x[75] x[76] x[77] x[78] x[79] x[7] x[80] x[81] x[82] x[83] x[84] x[85] x[86] x[87] x[88]
x[89] x[8] x[90] x[91] x[92] x[93] x[94] x[95] x[96] x[97] x[98] x[99] x[9] </list> <values>1 1 1 0 0 0 1 0 0 0 1 1 1 0 0 0 0 1 0 0 0 0 0 0
0 1 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 </values> </instantiation>