2019 XCSP3 competition: fast COP track (sequential and parallel solvers): solvers results per benchmarks

Result page for benchmark
GraphColoring/GraphColoring-m1-mono/
GraphColoring-homer.xml

Jump to solvers results

General information on the benchmark

NameGraphColoring/GraphColoring-m1-mono/
GraphColoring-homer.xml
MD5SUM4034cc1c4ef788f4220b0fc076e8c883
Bench CategoryCOP (optimization problem)
Best result obtained on this benchmarkOPT
Best value of the objective obtained on this benchmark12
Best CPU time to get the best result obtained on this benchmark26.8114
Satisfiable
(Un)Satisfiability was proved
Number of variables561
Number of constraints1628
Number of domains1
Minimum domain size561
Maximum domain size561
Distribution of domain sizes[{"size":561,"count":561}]
Minimum variable degree1
Maximum variable degree100
Distribution of variable degrees[{"degree":1,"count":5},{"degree":2,"count":208},{"degree":3,"count":104},{"degree":4,"count":48},{"degree":5,"count":28},{"degree":6,"count":18},{"degree":7,"count":15},{"degree":8,"count":19},{"degree":9,"count":15},{"degree":10,"count":12},{"degree":11,"count":8},{"degree":12,"count":5},{"degree":13,"count":11},{"degree":14,"count":7},{"degree":15,"count":11},{"degree":16,"count":3},{"degree":17,"count":3},{"degree":18,"count":4},{"degree":19,"count":2},{"degree":20,"count":1},{"degree":21,"count":3},{"degree":22,"count":3},{"degree":24,"count":1},{"degree":25,"count":4},{"degree":26,"count":2},{"degree":31,"count":1},{"degree":32,"count":1},{"degree":36,"count":1},{"degree":37,"count":1},{"degree":38,"count":1},{"degree":39,"count":1},{"degree":40,"count":2},{"degree":41,"count":1},{"degree":43,"count":2},{"degree":46,"count":1},{"degree":51,"count":1},{"degree":53,"count":1},{"degree":55,"count":1},{"degree":56,"count":1},{"degree":57,"count":1},{"degree":62,"count":1},{"degree":66,"count":1},{"degree":78,"count":1},{"degree":100,"count":1}]
Minimum constraint arity2
Maximum constraint arity2
Distribution of constraint arities[{"arity":2,"count":1628}]
Number of extensional constraints0
Number of intensional constraints1628
Distribution of constraint types[{"type":"intension","count":1628}]
Optimization problemYES
Type of objectivemin MAXIMUM

Results of the different solvers on this benchmark

Solver NameTraceIDAnswerobjective functionCPU timeWall clock time
Concrete 3.10 (complete)4392041OPT12 25.9136 14.1507
Concrete 3.12.3 (complete)4403101OPT12 26.8114 17.5118
Concrete 3.12.2 (complete)4401301OPT12 29.5994 18.9142
PicatSAT 2019-09-12 (complete)4395521OPT12 32.278 32.2886
Concrete 3.12.2 (complete)4396421OPT12 227.613 213.691
choco-solver 2019-09-20 parallel (complete)4404901SAT (TO)12 1993.18 252.103
choco-solver 2019-09-24 parallel (complete)4407301SAT (TO)12 1995.22 252.104
choco-solver 2019-09-16 parallel (complete)4400101SAT (TO)12 1996.14 252.106
cosoco 2.O parallel (complete)4398601SAT (TO)12 2009.8 252.024
cosoco 2.0 parallel (complete)4409861SAT (TO)12 2010.25 252.025
cosoco 2 (complete)4390241SAT (TO)12 2400.01 2400.01
AbsCon 2019-07-23 (complete)4391141SAT (TO)12 2400.03 2395.41
cosoco 2.0 (complete)4408961SAT (TO)12 2400.04 2400.01
cosoco 2.0 (complete)4397701SAT (TO)12 2400.08 2400.4
choco-solver 2019-09-24 (complete)4406401SAT (TO)12 2400.08 2384.62
choco-solver 2019-09-20 (complete)4404001SAT (TO)12 2400.55 605.97
choco-solver 2019-09-16 (complete)4400401SAT (TO)12 2400.63 605.695
choco-solver 2019-06-14 (complete)4394141SAT (TO)12 2400.69 605.098
choco-solver 2019-06-14 parallel (complete)4394441SAT (TO)12 20048.2 2520.1

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: 12
Solution found:
<instantiation cost = '12'> <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] x[25] x[26] x[27] x[28] x[29] x[30] x[31] x[32] x[33] x[34] x[35] x[36] x[37] x[38] x[39] x[40] x[41]
x[42] x[43] x[44] x[45] x[46] x[47] x[48] x[49] x[50] x[51] x[52] x[53] x[54] x[55] x[56] x[57] x[58] x[59] x[60] x[61] x[62] x[63] x[64]
x[65] x[66] x[67] x[68] x[69] x[70] x[71] x[72] x[73] x[74] x[75] x[76] x[77] x[78] x[79] x[80] x[81] x[82] x[83] x[84] x[85] x[86] x[87]
x[88] x[89] x[90] x[91] x[92] x[93] x[94] x[95] x[96] x[97] x[98] x[99] x[100] x[101] x[102] x[103] x[104] x[105] x[106] x[107] x[108]
x[109] x[110] x[111] x[112] x[113] x[114] x[115] x[116] x[117] x[118] x[119] x[120] x[121] x[122] x[123] x[124] x[125] x[126] x[127] x[128]
x[129] x[130] x[131] x[132] x[133] x[134] x[135] x[136] x[137] x[138] x[139] x[140] x[141] x[142] x[143] x[144] x[145] x[146] x[147] x[148]
x[149] x[150] x[151] x[152] x[153] x[154] x[155] x[156] x[157] x[158] x[159] x[160] x[161] x[162] x[163] x[164] x[165] x[166] x[167] x[168]
x[169] x[170] x[171] x[172] x[173] x[174] x[175] x[176] x[177] x[178] x[179] x[180] x[181] x[182] x[183] x[184] x[185] x[186] x[187] x[188]
x[189] x[190] x[191] x[192] x[193] x[194] x[195] x[196] x[197] x[198] x[199] x[200] x[201] x[202] x[203] x[204] x[205] x[206] x[207] x[208]
x[209] x[210] x[211] x[212] x[213] x[214] x[215] x[216] x[217] x[218] x[219] x[220] x[221] x[222] x[223] x[224] x[225] x[226] x[227] x[228]
x[229] x[230] x[231] x[232] x[233] x[234] x[235] x[236] x[237] x[238] x[239] x[240] x[241] x[242] x[243] x[244] x[245] x[246] x[247] x[248]
x[249] x[250] x[251] x[252] x[253] x[254] x[255] x[256] x[257] x[258] x[259] x[260] x[261] x[262] x[263] x[264] x[265] x[266] x[267] x[268]
x[269] x[270] x[271] x[272] x[273] x[274] x[275] x[276] x[277] x[278] x[279] x[280] x[281] x[282] x[283] x[284] x[285] x[286] x[287] x[288]
x[289] x[290] x[291] x[292] x[293] x[294] x[295] x[296] x[297] x[298] x[299] x[300] x[301] x[302] x[303] x[304] x[305] x[306] x[307] x[308]
x[309] x[310] x[311] x[312] x[313] x[314] x[315] x[316] x[317] x[318] x[319] x[320] x[321] x[322] x[323] x[324] x[325] x[326] x[327] x[328]
x[329] x[330] x[331] x[332] x[333] x[334] x[335] x[336] x[337] x[338] x[339] x[340] x[341] x[342] x[343] x[344] x[345] x[346] x[347] x[348]
x[349] x[350] x[351] x[352] x[353] x[354] x[355] x[356] x[357] x[358] x[359] x[360] x[361] x[362] x[363] x[364] x[365] x[366] x[367] x[368]
x[369] x[370] x[371] x[372] x[373] x[374] x[375] x[376] x[377] x[378] x[379] x[380] x[381] x[382] x[383] x[384] x[385] x[386] x[387] x[388]
x[389] x[390] x[391] x[392] x[393] x[394] x[395] x[396] x[397] x[398] x[399] x[400] x[401] x[402] x[403] x[404] x[405] x[406] x[407] x[408]
x[409] x[410] x[411] x[412] x[413] x[414] x[415] x[416] x[417] x[418] x[419] x[420] x[421] x[422] x[423] x[424] x[425] x[426] x[427] x[428]
x[429] x[430] x[431] x[432] x[433] x[434] x[435] x[436] x[437] x[438] x[439] x[440] x[441] x[442] x[443] x[444] x[445] x[446] x[447] x[448]
x[449] x[450] x[451] x[452] x[453] x[454] x[455] x[456] x[457] x[458] x[459] x[460] x[461] x[462] x[463] x[464] x[465] x[466] x[467] x[468]
x[469] x[470] x[471] x[472] x[473] x[474] x[475] x[476] x[477] x[478] x[479] x[480] x[481] x[482] x[483] x[484] x[485] x[486] x[487] x[488]
x[489] x[490] x[491] x[492] x[493] x[494] x[495] x[496] x[497] x[498] x[499] x[500] x[501] x[502] x[503] x[504] x[505] x[506] x[507] x[508]
x[509] x[510] x[511] x[512] x[513] x[514] x[515] x[516] x[517] x[518] x[519] x[520] x[521] x[522] x[523] x[524] x[525] x[526] x[527] x[528]
x[529] x[530] x[531] x[532] x[533] x[534] x[535] x[536] x[537] x[538] x[539] x[540] x[541] x[542] x[543] x[544] x[545] x[546] x[547] x[548]
x[549] x[550] x[551] x[552] x[553] x[554] x[555] x[556] x[557] x[558] x[559] x[560] </list> <values> 3 4 0 2 0 0 0 1 1 4 5 1 1 0 2 1 5 0 0 0
0 0 0 0 0 1 1 1 0 1 1 6 2 2 2 1 0 0 0 4 0 4 0 9 0 5 0 0 0 4 1 1 8 0 0 0 2 2 1 2 4 2 0 2 0 4 2 2 7 1 0 3 0 2 0 6 2 1 1 1 0 0 4 1 5 10 0 2 0 0
0 0 0 0 3 2 0 1 0 1 0 0 0 1 0 1 0 7 0 0 0 2 0 8 1 0 6 0 1 0 0 0 7 0 0 0 1 1 0 0 1 0 1 0 8 0 6 0 2 1 1 0 1 0 1 1 0 0 0 2 2 1 0 7 7 1 0 1 5 3
11 0 1 4 5 0 0 2 0 3 7 1 0 0 1 2 0 7 0 0 1 1 3 1 1 1 1 2 9 0 0 2 0 1 0 3 1 0 1 0 0 2 2 2 0 0 3 0 2 1 1 0 0 0 0 0 0 0 3 0 1 0 0 0 0 0 3 0 0 0
1 0 0 3 0 0 0 0 0 3 0 1 0 1 0 1 5 0 1 0 1 0 2 0 0 0 0 0 6 0 0 4 0 3 0 0 3 1 0 0 3 1 0 2 0 3 1 0 0 1 1 0 0 0 3 1 0 0 0 0 3 1 0 0 1 0 1 0 0 3
0 0 0 0 0 0 0 0 0 3 1 0 2 11 1 0 1 0 3 1 0 0 0 0 0 1 1 0 0 3 0 1 0 0 6 6 0 0 1 1 0 1 0 3 2 0 2 8 7 1 1 0 12 1 0 4 6 1 0 0 1 2 3 0 5 1 6 4 8
0 1 1 0 0 0 1 1 3 0 5 10 0 0 3 4 1 7 0 2 1 1 1 0 1 0 2 3 0 0 10 1 0 0 0 1 0 1 5 0 2 1 0 1 0 4 4 0 0 1 0 0 2 1 5 6 4 0 0 0 0 1 2 5 0 0 0 0 0
0 0 1 0 2 1 0 0 7 2 0 1 1 0 1 0 0 1 0 0 0 0 2 2 0 2 1 0 0 2 1 0 2 0 1 0 0 1 1 1 7 2 0 0 2 0 9 0 0 1 1 0 4 7 1 0 1 9 5 7 0 1 2 5 1 1 1 1 1 3
0 8 2 1 0 0 0 2 2 0 0 0 0 1 0 0 0 5 1 4 0 0 1 1 0 1 1 1 1 0 0 0 0 2 0 1 5 0 0 3 6 0 0 0 0 5 8 1 1 5 0 9 0 </values> </instantiation>