| Name | Rlfap/Rlfap-opt/ Rlfap-scen-01-opt_c18.xml |
| MD5SUM | 2ee48e6c5f3b799813662dbb853aaebc |
| Bench Category | COP (optimization problem) |
| Best result obtained on this benchmark | SAT |
| Best value of the objective obtained on this benchmark | 16 |
| Best CPU time to get the best result obtained on this benchmark | 252.017 |
| Satisfiable | |
| (Un)Satisfiability was proved | |
| Number of variables | 916 |
| Number of constraints | 5548 |
| Number of domains | 7 |
| Minimum domain size | 6 |
| Maximum domain size | 44 |
| Distribution of domain sizes | [{"size":6,"count":6},{"size":22,"count":36},{"size":24,"count":8},{"size":36,"count":360},{"size":42,"count":22},{"size":44,"count":484}] |
| Minimum variable degree | 2 |
| Maximum variable degree | 62 |
| Distribution of variable degrees | [{"degree":2,"count":12},{"degree":3,"count":2},{"degree":4,"count":38},{"degree":5,"count":25},{"degree":6,"count":95},{"degree":7,"count":25},{"degree":8,"count":106},{"degree":9,"count":20},{"degree":10,"count":111},{"degree":11,"count":39},{"degree":12,"count":56},{"degree":13,"count":41},{"degree":14,"count":47},{"degree":15,"count":30},{"degree":16,"count":41},{"degree":17,"count":19},{"degree":18,"count":32},{"degree":19,"count":15},{"degree":20,"count":27},{"degree":21,"count":21},{"degree":22,"count":8},{"degree":23,"count":11},{"degree":24,"count":18},{"degree":25,"count":13},{"degree":26,"count":7},{"degree":27,"count":7},{"degree":28,"count":7},{"degree":29,"count":7},{"degree":30,"count":7},{"degree":31,"count":6},{"degree":32,"count":4},{"degree":33,"count":2},{"degree":35,"count":1},{"degree":36,"count":1},{"degree":37,"count":2},{"degree":38,"count":2},{"degree":39,"count":2},{"degree":40,"count":3},{"degree":43,"count":1},{"degree":44,"count":1},{"degree":45,"count":2},{"degree":55,"count":1},{"degree":62,"count":1}] |
| Minimum constraint arity | 2 |
| Maximum constraint arity | 2 |
| Distribution of constraint arities | [{"arity":2,"count":5548}] |
| Number of extensional constraints | 0 |
| Number of intensional constraints | 5548 |
| Distribution of constraint types | [{"type":"intension","count":5548}] |
| Optimization problem | YES |
| Type of objective | min NVALUES |
| Solver Name | TraceID | Answer | objective function | CPU time | Wall clock time |
|---|---|---|---|---|---|
| cosoco 1.12 (complete) | 4301479 | SAT (TO) | 16 | 252.017 | 252.011 |
| OscaR - Hybrid 2018-08-14 (complete) | 4310539 | SAT (TO) | 48 | 252.032 | 247.128 |
| OscaR - Conflict Ordering with restarts 2018-08-17 (complete) | 4312399 | ? | 251.811 | 247.45 | |
| Mistral-2.0 2018-08-01 (complete) | 4312525 | ? (TO) | 251.982 | 252.011 | |
| OscaR - Conflict Ordering with restarts 2018-08-14 (complete) | 4310189 | ? (TO) | 252.035 | 247.315 | |
| Choco-solver 4.0.7b seq (e747e1e) (complete) | 4301477 | ? (TO) | 252.108 | 242.532 | |
| Concrete 3.9.2-SuperNG (complete) | 4302913 | ? (TO) | 252.154 | 228.843 | |
| Concrete 3.9.2 (complete) | 4302563 | ? (TO) | 252.243 | 229.236 | |
| Sat4j-CSP 2018-07-11 (complete) | 4301478 | ? (TO) | 259.158 | 87.5402 |
This section presents information obtained from the best job displayed in the list (i.e. solvers whose names are not hidden).
objective function: 16<instantiation type='solution' cost='16'> <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[852] x[853] x[854] x[855] x[856] x[857] x[858] x[859] x[85] x[860] x[861] x[862] x[863] x[864] x[865] x[866] x[867] x[868] x[869] x[86] x[870] x[871] x[872] x[873] x[874] x[875] x[876] x[877] x[878] x[879] x[87] x[880] x[881] x[882] x[883] x[884] x[885] x[886] x[887] x[888] x[889] x[88] x[890] x[891] x[892] x[893] x[894] x[895] x[896] x[897] x[898] x[899] x[89] x[8] x[900] x[901] x[902] x[903] x[904] x[905] x[906] x[907] x[908] x[909] x[90] x[910] x[911] x[912] x[913] x[914] x[915] x[91] x[92] x[93] x[94] x[95] x[96] x[97] x[98] x[99] x[9] </list> <values>86 680 442 30 268 380 142 268 30 296 58 16 58 296 142 380 254 16 414 652 296 58 254 30 268 16 254 442 680 58 296 414 652 324 652 414 86 324 268 30 16 254 86 324 86 170 408 324 86 324 86 380 142 16 254 324 652 414 86 324 380 142 442 680 86 324 86 414 652 442 680 442 680 30 268 142 380 442 30 268 30 268 268 30 414 652 254 16 680 254 16 680 442 58 296 254 16 268 30 86 414 652 16 254 142 380 268 30 254 16 324 324 680 442 324 86 414 652 296 58 58 296 296 58 296 414 652 652 414 142 380 254 16 58 380 142 58 296 16 254 30 268 324 86 296 58 296 442 680 30 268 324 86 380 142 58 442 680 442 680 268 30 58 296 58 296 324 142 380 324 86 268 30 254 16 142 380 86 16 254 268 30 680 442 268 30 268 30 254 268 30 254 16 254 16 268 30 16 254 16 254 16 254 16 380 142 254 16 86 324 296 254 16 142 380 16 254 16 254 268 30 58 268 380 142 296 58 414 652 30 268 254 16 30 414 652 414 652 16 254 268 30 142 380 268 324 86 324 86 254 16 680 442 254 16 30 268 30 652 414 58 296 16 254 254 16 268 58 296 16 254 268 30 652 414 296 58 652 58 296 142 380 30 268 296 58 380 142 414 30 268 324 86 680 442 296 58 86 324 680 16 254 142 380 30 268 58 296 142 380 442 442 680 268 30 268 30 296 58 254 16 442 380 142 296 58 296 58 324 86 30 268 680 30 268 30 58 296 30 268 254 16 30 268 296 380 142 30 268 86 324 142 380 58 296 58 30 268 296 58 30 268 142 380 380 142 30 142 380 324 86 324 86 58 296 58 296 268 268 30 268 30 324 86 16 254 380 142 652 86 324 254 16 254 16 268 30 58 296 414 380 142 268 30 142 380 296 58 30 268 296 254 16 268 30 296 58 380 142 86 324 58 380 142 30 268 296 58 254 16 268 30 58 268 30 142 380 324 86 652 414 268 30 296 142 680 442 86 324 380 142 16 254 324 86 380 86 324 296 58 16 254 30 268 142 380 142 142 380 380 142 30 268 58 296 16 254 16 268 30 254 16 86 324 86 324 254 16 254 442 680 296 58 254 16 254 16 86 324 652 254 16 16 254 58 296 380 142 142 380 414 268 30 380 142 86 324 380 142 296 58 142 142 380 30 268 296 58 254 16 254 16 380 16 254 380 142 254 16 58 296 16 254 324 268 30 680 442 324 86 58 296 442 680 86 380 296 58 296 58 296 58 324 86 380 142 268 30 268 30 268 380 142 268 30 30 268 30 324 86 58 296 30 268 58 296 58 296 16 30 268 142 380 268 30 16 254 380 142 254 142 380 30 268 254 16 324 86 16 254 86 16 254 324 86 380 142 414 652 16 254 324 30 268 16 254 254 16 254 16 254 16 414 254 16 254 16 380 142 268 30 380 142 652 30 268 142 380 30 268 142 380 30 268 296 142 380 268 30 268 30 324 86 16 254 58 254 254 16 254 16 268 30 58 296 442 680 142 324 86 268 30 16 254 254 16 442 680 380 324 86 652 414 16 254 16 254 680 442 16 142 380 86 324 86 324 30 268 268 30 254 652 414 296 58 30 268 380 142 58 296 58 58 296 30 268 268 30 380 142 268 30 296 268 30 142 380 58 296 414 652 268 30 30 254 16 268 30 30 268 86 324 254 16 268 254 16 30 268 30 268 30 268 296 58 268 30 268 142 380 30 268 142 380 30 268 30 16 142 380 268 30 380 142 268 30 254 16 254 380 142 268 30 142 380 58 296 380 142 16 268 30 58 296 324 86 86 324 268 30 324 442 680 30 268 30 268 142 380 16 254 86 142 380 30 268 58 296 380 142 254 16 254 680 442 30 268 296 58 324 86 142 380 16 324 86 16 254 442 680 30 268 86 324 16 142 380 16 254 30 268 142 380 380 142 254 296 58 380 142 86 324 142 380 30 268 254 380 142 58 296 30 268 296 58 268 30 16 380 58 296 254 16 296 58 324 86 86 324 86 268 30 142 380 254 16 324 296 58 380 142 254 16 652 414 142 </values> </instantiation>