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

Result page for benchmark
GraphColoring/GraphColoring-m1-mono/
GraphColoring-will199GPIA.xml

Jump to solvers results

General information on the benchmark

NameGraphColoring/GraphColoring-m1-mono/
GraphColoring-will199GPIA.xml
MD5SUMa5e04939345321982833836e1e755881
Bench CategoryCOP (optimization problem)
Best result obtained on this benchmarkOPT
Best value of the objective obtained on this benchmark6
Best CPU time to get the best result obtained on this benchmark1.16899
Satisfiable
(Un)Satisfiability was proved
Number of variables701
Number of constraints6772
Number of domains1
Minimum domain size701
Maximum domain size701
Distribution of domain sizes[{"size":701,"count":701}]
Minimum variable degree3
Maximum variable degree39
Distribution of variable degrees[{"degree":3,"count":1},{"degree":7,"count":4},{"degree":9,"count":3},{"degree":10,"count":2},{"degree":11,"count":1},{"degree":12,"count":17},{"degree":13,"count":48},{"degree":14,"count":113},{"degree":15,"count":54},{"degree":16,"count":67},{"degree":17,"count":18},{"degree":18,"count":62},{"degree":19,"count":17},{"degree":20,"count":23},{"degree":21,"count":24},{"degree":22,"count":15},{"degree":23,"count":11},{"degree":24,"count":12},{"degree":25,"count":14},{"degree":26,"count":28},{"degree":27,"count":24},{"degree":28,"count":34},{"degree":29,"count":3},{"degree":30,"count":26},{"degree":31,"count":12},{"degree":32,"count":13},{"degree":33,"count":14},{"degree":34,"count":14},{"degree":35,"count":6},{"degree":37,"count":1},{"degree":38,"count":14},{"degree":39,"count":6}]
Minimum constraint arity2
Maximum constraint arity2
Distribution of constraint arities[{"arity":2,"count":6772}]
Number of extensional constraints0
Number of intensional constraints6772
Distribution of constraint types[{"type":"intension","count":6772}]
Optimization problemYES
Type of objectivemin MAXIMUM

Results of the different solvers on this benchmark

Solver NameTraceIDAnswerobjective functionCPU timeWall clock time
cosoco 2 (complete)4390170OPT6 1.16899 1.16936
cosoco 2.0 (complete)4397630OPT6 1.18453 1.18604
cosoco 2.0 (complete)4408890OPT6 1.1958 1.19612
choco-solver 2019-09-24 (complete)4406330OPT6 6.59216 2.64181
AbsCon 2019-07-23 (complete)4391070OPT6 7.43209 3.48662
choco-solver 2019-09-20 (complete)4403930OPT6 13.0573 4.02851
choco-solver 2019-06-14 (complete)4394070OPT6 14.565 4.32953
choco-solver 2019-09-16 (complete)4400330OPT6 15.2284 4.96848
cosoco 2.O parallel (complete)4398530OPT6 21.0095 3.81469
choco-solver 2019-09-16 parallel (complete)4400030OPT6 24.5789 4.85315
choco-solver 2019-06-14 parallel (complete)4394370OPT6 26.5572 5.4946
choco-solver 2019-09-24 parallel (complete)4407230OPT6 29.076 5.93209
PicatSAT 2019-09-12 (complete)4395450OPT6 29.4887 29.4949
choco-solver 2019-09-20 parallel (complete)4404830OPT6 30.1932 5.53901
Concrete 3.10 (complete)4391970OPT6 44.0235 26.5618
Concrete 3.12.3 (complete)4403030OPT6 52.2067 37.9817
Concrete 3.12.2 (complete)4401230OPT6 52.613 37.2518
cosoco 2.0 parallel (complete)4409790OPT6 53.2009 7.83823
Concrete 3.12.2 (complete)4396350OPT6 1249.07 1217.12

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: 6
Solution found:
<instantiation type='solution' cost='6'> <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[216] x[217] x[218] x[219]
x[21] x[220] x[221] x[222] x[223] x[224] x[225] x[226] x[227] x[228] x[229] x[22] x[230] x[231] x[232] x[233] x[234] x[235] x[236] x[237]
x[238] x[239] x[23] x[240] x[241] x[242] x[243] x[244] x[245] x[246] x[247] x[248] x[249] x[24] x[250] x[251] x[252] x[253] x[254] x[255]
x[256] x[257] x[258] x[259] x[25] x[260] x[261] x[262] x[263] x[264] x[265] x[266] x[267] x[268] x[269] x[26] x[270] x[271] x[272] x[273]
x[274] x[275] x[276] x[277] x[278] x[279] x[27] x[280] x[281] x[282] x[283] x[284] x[285] x[286] x[287] x[288] x[289] x[28] x[290] x[291]
x[292] x[293] x[294] x[295] x[296] x[297] x[298] x[299] x[29] x[2] x[300] x[301] x[302] x[303] x[304] x[305] x[306] x[307] x[308] x[309]
x[30] x[310] x[311] x[312] x[313] x[314] x[315] x[316] x[317] x[318] x[319] x[31] x[320] x[321] x[322] x[323] x[324] x[325] x[326] x[327]
x[328] x[329] x[32] x[330] x[331] x[332] x[333] x[334] x[335] x[336] x[337] x[338] x[339] x[33] x[340] x[341] x[342] x[343] x[344] x[345]
x[346] x[347] x[348] x[349] x[34] x[350] x[351] x[352] x[353] x[354] x[355] x[356] x[357] x[358] x[359] x[35] x[360] x[361] x[362] x[363]
x[364] x[365] x[366] x[367] x[368] x[369] x[36] x[370] x[371] x[372] x[373] x[374] x[375] x[376] x[377] x[378] x[379] x[37] x[380] x[381]
x[382] x[383] x[384] x[385] x[386] x[387] x[388] x[389] x[38] x[390] x[391] x[392] x[393] x[394] x[395] x[396] x[397] x[398] x[399] x[39]
x[3] x[400] x[401] x[402] x[403] x[404] x[405] x[406] x[407] x[408] x[409] x[40] x[410] x[411] x[412] x[413] x[414] x[415] x[416] x[417]
x[418] x[419] x[41] x[420] x[421] x[422] x[423] x[424] x[425] x[426] x[427] x[428] x[429] x[42] x[430] x[431] x[432] x[433] x[434] x[435]
x[436] x[437] x[438] x[439] x[43] x[440] x[441] x[442] x[443] x[444] x[445] x[446] x[447] x[448] x[449] x[44] x[450] x[451] x[452] x[453]
x[454] x[455] x[456] x[457] x[458] x[459] x[45] x[460] x[461] x[462] x[463] x[464] x[465] x[466] x[467] x[468] x[469] x[46] x[470] x[471]
x[472] x[473] x[474] x[475] x[476] x[477] x[478] x[479] x[47] x[480] x[481] x[482] x[483] x[484] x[485] x[486] x[487] x[488] x[489] x[48]
x[490] x[491] x[492] x[493] x[494] x[495] x[496] x[497] x[498] x[499] x[49] x[4] x[500] x[501] x[502] x[503] x[504] x[505] x[506] x[507]
x[508] x[509] x[50] x[510] x[511] x[512] x[513] x[514] x[515] x[516] x[517] x[518] x[519] x[51] x[520] x[521] x[522] x[523] x[524] x[525]
x[526] x[527] x[528] x[529] x[52] x[530] x[531] x[532] x[533] x[534] x[535] x[536] x[537] x[538] x[539] x[53] x[540] x[541] x[542] x[543]
x[544] x[545] x[546] x[547] x[548] x[549] x[54] x[550] x[551] x[552] x[553] x[554] x[555] x[556] x[557] x[558] x[559] x[55] x[560] x[561]
x[562] x[563] x[564] x[565] x[566] x[567] x[568] x[569] x[56] x[570] x[571] x[572] x[573] x[574] x[575] x[576] x[577] x[578] x[579] x[57]
x[580] x[581] x[582] x[583] x[584] x[585] x[586] x[587] x[588] x[589] x[58] x[590] x[591] x[592] x[593] x[594] x[595] x[596] x[597] x[598]
x[599] x[59] x[5] x[600] x[601] x[602] x[603] x[604] x[605] x[606] x[607] x[608] x[609] x[60] x[610] x[611] x[612] x[613] x[614] x[615]
x[616] x[617] x[618] x[619] x[61] x[620] x[621] x[622] x[623] x[624] x[625] x[626] x[627] x[628] x[629] x[62] x[630] x[631] x[632] x[633]
x[634] x[635] x[636] x[637] x[638] x[639] x[63] x[640] x[641] x[642] x[643] x[644] x[645] x[646] x[647] x[648] x[649] x[64] x[650] x[651]
x[652] x[653] x[654] x[655] x[656] x[657] x[658] x[659] x[65] x[660] x[661] x[662] x[663] x[664] x[665] x[666] x[667] x[668] x[669] x[66]
x[670] x[671] x[672] x[673] x[674] x[675] x[676] x[677] x[678] x[679] x[67] x[680] x[681] x[682] x[683] x[684] x[685] x[686] x[687] x[688]
x[689] x[68] x[690] x[691] x[692] x[693] x[694] x[695] x[696] x[697] x[698] x[699] x[69] x[6] x[700] 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>0 1 0 4 2 1 0 4 1 0 4 0 2 3 0 4 2 0 4 1 3 0 1 4 1 0 4 1 2 4 0 1 4 3 0 2 3 1 3 2 1 3 0 2 4 2 3 0 2 3 4
1 0 2 4 2 0 5 3 6 0 5 2 0 3 4 0 1 0 3 4 0 3 4 2 1 5 3 4 6 5 3 0 1 5 3 1 5 2 0 4 4 1 0 3 1 2 0 3 0 0 2 3 0 1 2 2 5 1 2 1 1 5 1 0 3 0 1 3 0 1
2 4 0 3 2 1 0 3 1 2 1 0 0 2 3 1 0 2 3 0 2 3 4 4 0 2 1 3 0 3 1 4 0 3 1 1 2 0 1 2 3 0 1 2 3 0 0 2 4 6 5 3 6 4 0 3 4 1 2 0 3 4 1 4 0 2 1 2 4 0
3 6 3 4 0 2 3 5 3 6 1 3 0 4 1 3 0 4 2 1 1 4 0 2 5 4 3 0 1 2 0 2 0 3 1 2 0 4 3 4 0 2 2 1 4 2 0 4 3 0 2 4 3 1 1 2 3 2 1 0 3 2 1 0 0 2 3 0 1 4
3 0 2 1 4 3 1 2 3 0 4 2 3 1 4 0 5 5 1 2 0 4 4 2 5 0 6 2 1 3 0 4 2 2 0 4 1 3 0 1 4 0 2 3 2 0 4 1 5 3 3 4 2 1 5 0 2 4 3 1 5 2 4 3 1 0 0 3 2 4
5 0 0 1 3 2 4 0 2 0 4 3 1 1 4 3 1 0 4 2 0 4 2 0 4 1 2 3 1 2 4 2 3 0 2 0 3 0 1 3 0 1 3 4 2 0 4 4 2 0 1 3 2 1 3 2 1 1 0 2 1 0 2 1 2 3 1 2 0 3
1 0 2 1 0 2 3 1 0 4 3 2 0 4 2 0 1 3 0 1 3 3 0 2 1 0 2 1 0 3 2 1 4 3 2 4 0 3 1 0 3 1 4 1 0 4 2 0 4 2 3 1 0 3 1 1 0 3 2 0 3 2 0 3 1 2 0 3 1 0
3 2 1 3 2 1 3 0 3 1 0 3 1 2 0 3 2 1 0 3 1 2 3 1 2 3 1 0 0 2 1 0 3 4 1 3 2 1 3 2 4 2 1 0 2 3 1 3 1 0 3 1 2 0 2 3 0 1 2 3 0 2 3 4 0 1 2 3 4 0
4 1 0 0 2 3 4 1 0 1 2 4 3 3 2 0 1 2 4 2 1 3 0 5 2 2 1 3 1 2 3 6 0 1 2 3 4 2 3 1 0 4 2 3 1 3 0 5 1 4 3 0 1 0 2 1 0 2 0 1 2 0 4 2 0 4 0 1 3 1
0 1 3 2 1 2 3 3 4 1 4 4 0 2 3 5 3 2 1 0 3 3 4 1 5 0 4 1 2 3 0 4 1 2 1 0 3 1 2 5 0 3 2 5 1 5 6 4 0 1 2 3 6 0 2 3 4 2 1 0 2 1 0 3 2 3 0 0 4 3
0 1 3 1 0 3 1 0 1 2 2 4 0 2 4 1 0 0 4 2 </values> </instantiation>