| Name | GraphColoring/ GraphColoring-2-fullins-5_c18.xml |
| MD5SUM | 7175cc64c8263572fa1d1d1459976d33 |
| Bench Category | COP (optimization problem) |
| Best result obtained on this benchmark | OPT |
| Best value of the objective obtained on this benchmark | 6 |
| Best CPU time to get the best result obtained on this benchmark | 354.284 |
| Satisfiable | |
| (Un)Satisfiability was proved | |
| Number of variables | 852 |
| Number of constraints | 12201 |
| Number of domains | 1 |
| Minimum domain size | 852 |
| Maximum domain size | 852 |
| Distribution of domain sizes | [{"size":852,"count":852}] |
| Minimum variable degree | 9 |
| Maximum variable degree | 216 |
| Distribution of variable degrees | [{"degree":9,"count":4},{"degree":10,"count":10},{"degree":11,"count":10},{"degree":12,"count":24},{"degree":13,"count":14},{"degree":14,"count":28},{"degree":15,"count":20},{"degree":16,"count":40},{"degree":17,"count":26},{"degree":18,"count":52},{"degree":19,"count":24},{"degree":20,"count":52},{"degree":21,"count":10},{"degree":22,"count":20},{"degree":23,"count":24},{"degree":24,"count":48},{"degree":25,"count":18},{"degree":26,"count":36},{"degree":27,"count":20},{"degree":28,"count":40},{"degree":29,"count":16},{"degree":30,"count":32},{"degree":31,"count":32},{"degree":32,"count":64},{"degree":33,"count":4},{"degree":34,"count":8},{"degree":35,"count":4},{"degree":36,"count":8},{"degree":41,"count":4},{"degree":42,"count":8},{"degree":43,"count":8},{"degree":44,"count":16},{"degree":45,"count":8},{"degree":46,"count":16},{"degree":47,"count":16},{"degree":48,"count":32},{"degree":58,"count":4},{"degree":61,"count":4},{"degree":62,"count":8},{"degree":63,"count":8},{"degree":64,"count":16},{"degree":111,"count":4},{"degree":112,"count":8},{"degree":216,"count":4}] |
| Minimum constraint arity | 2 |
| Maximum constraint arity | 2 |
| Distribution of constraint arities | [{"arity":2,"count":12201}] |
| Number of extensional constraints | 0 |
| Number of intensional constraints | 12201 |
| Distribution of constraint types | [{"type":"intension","count":12201}] |
| Optimization problem | YES |
| Type of objective | min MAXIMUM |
| Solver Name | TraceID | Answer | objective function | CPU time | Wall clock time |
|---|---|---|---|---|---|
| cosoco 1.12 (complete) | 4298462 | OPT | 6 | 354.284 | 354.258 |
| The dodo solver 2018-04-29 (complete) | 4298468 | SAT (TO) | 6 | 2520.08 | 2502.33 |
| slowpoke 2018-04-29 (incomplete) | 4298465 | SAT (TO) | 6 | 2520.13 | 2511.32 |
| SuperSolver_Macq_Stevenart 2018-04-27 (incomplete) | 4298467 | SAT | 7 | 306.979 | 301.636 |
| Solver of Xavier Schul & Yvhan Smal 2018-04-28 (incomplete) | 4298466 | SAT (TO) | 7 | 2520.11 | 2476.52 |
| GG's minicp 2018-04-29 (complete) | 4298463 | SAT (TO) | 7 | 2520.12 | 2474.33 |
| MiniCPFever 2018-04-29 (complete) | 4298464 | SAT (TO) | 851 | 2520.12 | 2481.92 |
This section presents information obtained from the best job displayed in the list (i.e. solvers whose names are not hidden).
objective function: 6<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[701] x[702] x[703] x[704] x[705] x[706] x[707] x[708] x[709] x[70] x[710] x[711] x[712] x[713] x[714] x[715] x[716] x[717] x[718] x[719] x[71] x[720] x[721] x[722] x[723] x[724] x[725] x[726] x[727] x[728] x[729] x[72] x[730] x[731] x[732] x[733] x[734] x[735] x[736] x[737] x[738] x[739] x[73] x[740] x[741] x[742] x[743] x[744] x[745] x[746] x[747] x[748] x[749] x[74] x[750] x[751] x[752] x[753] x[754] x[755] x[756] x[757] x[758] x[759] x[75] x[760] x[761] x[762] x[763] x[764] x[765] x[766] x[767] x[768] x[769] x[76] x[770] x[771] x[772] x[773] x[774] x[775] x[776] x[777] x[778] x[779] x[77] x[780] x[781] x[782] x[783] x[784] x[785] x[786] x[787] x[788] x[789] x[78] x[790] x[791] x[792] x[793] x[794] x[795] x[796] x[797] x[798] x[799] x[79] x[7] x[800] x[801] x[802] x[803] x[804] x[805] x[806] x[807] x[808] x[809] x[80] x[810] x[811] x[812] x[813] x[814] x[815] x[816] x[817] x[818] x[819] x[81] x[820] x[821] x[822] x[823] x[824] x[825] x[826] x[827] x[828] x[829] x[82] x[830] x[831] x[832] x[833] x[834] x[835] x[836] x[837] x[838] x[839] x[83] x[840] x[841] x[842] x[843] x[844] x[845] x[846] x[847] x[848] x[849] x[84] x[850] x[851] 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 0 3 0 0 2 1 3 1 2 1 5 2 1 1 2 3 1 2 1 4 1 4 2 1 2 1 1 2 4 1 2 1 2 3 1 2 1 2 1 1 2 3 1 1 2 1 3 1 1 1 2 1 1 1 0 3 1 1 3 4 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 5 1 0 0 0 0 0 0 0 0 2 4 1 0 1 2 1 3 1 2 1 3 3 2 1 2 3 3 2 1 0 1 2 1 5 2 5 1 2 5 6 2 1 3 1 4 2 1 3 3 1 2 3 3 3 5 2 3 3 5 5 5 5 5 5 5 5 1 1 3 5 2 0 1 0 3 0 1 3 0 0 0 2 0 0 0 1 0 1 1 0 1 0 0 0 2 0 0 0 1 2 0 0 0 1 0 0 0 2 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 3 0 0 3 1 3 1 3 3 1 3 3 1 3 3 3 5 1 1 5 1 5 1 5 5 1 5 5 5 2 5 1 3 1 5 1 3 3 1 5 3 3 3 3 3 3 3 3 3 5 5 3 5 5 5 3 1 3 5 5 0 0 3 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 3 1 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 4 3 5 0 1 2 1 3 1 2 1 4 2 4 1 2 4 4 2 1 4 1 4 2 1 2 4 1 2 4 4 2 1 4 3 1 2 1 2 3 1 2 3 3 4 3 4 3 3 4 4 4 4 4 4 4 4 4 1 3 4 2 2 1 0 0 4 2 1 0 0 1 2 0 4 2 0 1 0 0 2 2 0 0 1 2 0 4 3 2 0 1 0 0 2 1 0 0 1 2 4 0 3 3 4 3 3 4 4 4 4 2 4 4 4 4 1 3 4 0 2 1 0 3 1 2 1 2 1 1 2 3 1 1 2 1 4 1 1 1 2 1 1 1 0 4 1 2 1 3 1 2 1 2 1 1 1 2 3 1 2 1 3 1 1 1 0 2 1 1 1 3 1 1 3 4 1 1 0 0 0 0 2 2 0 0 2 2 0 0 2 2 0 0 0 2 2 0 0 0 1 2 2 0 2 0 0 0 0 2 2 0 0 0 2 2 0 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 0 2 0 2 4 2 2 4 1 4 0 0 5 1 0 0 1 5 0 5 4 1 0 0 1 5 1 0 0 1 5 0 5 1 5 1 5 0 5 1 0 0 1 5 0 0 5 4 4 4 4 4 4 4 4 1 4 4 4 4 1 5 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 4 1 4 1 1 1 0 0 1 5 0 0 4 4 1 4 1 1 1 0 0 0 1 5 0 4 1 1 1 0 1 1 0 0 0 1 5 0 5 4 4 4 4 1 4 4 4 4 4 4 4 4 1 5 0 4 0 0 0 0 0 0 0 0 0 0 5 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 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 5 0 1 3 4 0 5 2 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 </values> </instantiation>