| 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 | 20 |
| Best CPU time to get the best result obtained on this benchmark | 15864.9 |
| 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 |
|---|---|---|---|---|---|
| Choco-solver 4.0.7b par (e747e1e) (complete) | 4297885 | SAT (TO) | 20 | 15864.9 | 2520.15 |
| OscaR - Parallel with EPS 2018-08-14 (complete) | 4309241 | ? | 72.0237 | 67.7093 | |
| OscaR - Parallel with EPS 2018-07-02 (complete) | 4291865 | Wrong Opt. | 42 | 25.951 | 7.33416 |
This section presents information obtained from the best job displayed in the list (i.e. solvers whose names are not hidden).
objective function: 20<instantiation> <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] x[561] x[562] x[563] x[564] x[565] x[566] x[567] x[568] x[569] x[570] x[571] x[572] x[573] x[574] x[575] x[576] x[577] x[578] x[579] x[580] x[581] x[582] x[583] x[584] x[585] x[586] x[587] x[588] x[589] x[590] x[591] x[592] x[593] x[594] x[595] x[596] x[597] x[598] x[599] x[600] x[601] x[602] x[603] x[604] x[605] x[606] x[607] x[608] x[609] x[610] x[611] x[612] x[613] x[614] x[615] x[616] x[617] x[618] x[619] x[620] x[621] x[622] x[623] x[624] x[625] x[626] x[627] x[628] x[629] x[630] x[631] x[632] x[633] x[634] x[635] x[636] x[637] x[638] x[639] x[640] x[641] x[642] x[643] x[644] x[645] x[646] x[647] x[648] x[649] x[650] x[651] x[652] x[653] x[654] x[655] x[656] x[657] x[658] x[659] x[660] x[661] x[662] x[663] x[664] x[665] x[666] x[667] x[668] x[669] x[670] x[671] x[672] x[673] x[674] x[675] x[676] x[677] x[678] x[679] x[680] x[681] x[682] x[683] x[684] x[685] x[686] x[687] x[688] x[689] x[690] x[691] x[692] x[693] x[694] x[695] x[696] x[697] x[698] x[699] x[700] x[701] x[702] x[703] x[704] x[705] x[706] x[707] x[708] x[709] x[710] x[711] x[712] x[713] x[714] x[715] x[716] x[717] x[718] x[719] x[720] x[721] x[722] x[723] x[724] x[725] x[726] x[727] x[728] x[729] x[730] x[731] x[732] x[733] x[734] x[735] x[736] x[737] x[738] x[739] x[740] x[741] x[742] x[743] x[744] x[745] x[746] x[747] x[748] x[749] x[750] x[751] x[752] x[753] x[754] x[755] x[756] x[757] x[758] x[759] x[760] x[761] x[762] x[763] x[764] x[765] x[766] x[767] x[768] x[769] x[770] x[771] x[772] x[773] x[774] x[775] x[776] x[777] x[778] x[779] x[780] x[781] x[782] x[783] x[784] x[785] x[786] x[787] x[788] x[789] x[790] x[791] x[792] x[793] x[794] x[795] x[796] x[797] x[798] x[799] x[800] x[801] x[802] x[803] x[804] x[805] x[806] x[807] x[808] x[809] x[810] x[811] x[812] x[813] x[814] x[815] x[816] x[817] x[818] x[819] x[820] x[821] x[822] x[823] x[824] x[825] x[826] x[827] x[828] x[829] x[830] x[831] x[832] x[833] x[834] x[835] x[836] x[837] x[838] x[839] x[840] x[841] x[842] x[843] x[844] x[845] x[846] x[847] x[848] x[849] x[850] x[851] x[852] x[853] x[854] x[855] x[856] x[857] x[858] x[859] x[860] x[861] x[862] x[863] x[864] x[865] x[866] x[867] x[868] x[869] x[870] x[871] x[872] x[873] x[874] x[875] x[876] x[877] x[878] x[879] x[880] x[881] x[882] x[883] x[884] x[885] x[886] x[887] x[888] x[889] x[890] x[891] x[892] x[893] x[894] x[895] x[896] x[897] x[898] x[899] x[900] x[901] x[902] x[903] x[904] x[905] x[906] x[907] x[908] x[909] x[910] x[911] x[912] x[913] x[914] x[915] </list> <values>380 142 30 268 142 380 16 254 114 352 680 442 44 282 44 282 512 750 352 114 142 380 282 44 352 114 16 254 352 114 268 30 142 380 268 30 442 680 680 442 352 114 764 526 30 268 442 680 30 268 142 380 114 352 380 142 254 16 380 142 310 72 16 254 114 352 16 254 380 142 114 352 16 254 114 352 142 380 254 16 114 352 380 142 254 16 142 380 16 254 380 142 268 30 254 16 282 44 380 142 750 512 142 380 16 254 310 72 254 16 44 282 352 114 310 72 72 310 442 680 30 268 352 114 680 442 72 310 380 142 680 442 114 352 30 268 254 16 680 442 380 142 16 254 16 254 442 680 268 30 310 72 750 512 142 380 282 44 114 352 254 16 142 380 142 380 142 380 380 142 268 30 114 352 142 380 442 680 254 16 16 254 142 380 254 16 352 114 30 268 16 254 750 512 114 352 254 16 114 352 750 512 750 512 680 442 72 310 30 268 30 268 114 352 254 16 352 114 254 16 254 16 380 142 254 16 72 310 30 268 352 114 380 142 30 268 268 30 142 380 44 282 44 282 16 254 114 352 114 352 240 478 750 512 16 254 16 254 72 310 16 254 352 114 142 380 282 44 380 142 380 142 680 442 680 442 380 142 142 380 44 282 44 282 282 44 268 30 30 268 16 254 380 142 254 16 16 254 526 764 282 44 442 680 114 352 30 268 254 16 352 114 352 114 16 254 16 254 352 114 44 282 44 282 310 72 380 142 254 16 16 254 512 750 142 380 114 352 442 680 268 30 268 30 352 114 16 254 442 680 380 142 72 310 442 680 352 114 282 44 268 30 142 380 30 268 114 352 268 30 254 16 380 142 142 380 282 44 44 282 268 30 30 268 268 30 44 282 16 254 142 380 282 44 352 114 72 310 16 254 30 268 268 30 310 72 254 16 142 380 268 30 114 352 114 352 30 268 142 380 114 352 72 310 310 72 310 72 30 268 30 268 30 268 44 282 114 352 114 352 268 30 310 72 310 72 254 16 268 30 380 142 254 16 254 16 282 44 352 114 30 268 142 380 352 114 30 268 310 72 16 254 352 114 352 114 114 352 442 680 30 268 30 268 16 254 72 310 44 282 268 30 114 352 114 352 764 526 30 268 750 512 750 512 282 44 380 142 254 16 750 512 114 352 352 114 380 142 114 352 44 282 380 142 352 114 30 268 352 114 254 16 72 310 30 268 254 16 380 142 16 254 142 380 352 114 16 254 30 268 44 282 442 680 114 352 352 114 352 114 282 44 512 750 44 282 114 352 380 142 30 268 114 352 44 282 254 16 16 254 142 380 268 30 254 16 30 268 142 380 282 44 442 680 352 114 30 268 30 268 268 30 268 30 114 352 282 44 380 142 352 114 44 282 114 352 30 268 268 30 114 352 114 352 268 30 44 282 114 352 268 30 114 352 680 442 380 142 30 268 268 30 142 380 254 16 380 142 254 16 268 30 380 142 114 352 44 282 254 16 30 268 72 310 254 16 16 254 16 254 254 16 142 380 72 310 30 268 114 352 380 142 268 30 352 114 268 30 352 114 268 30 380 142 268 30 352 114 254 16 254 16 142 380 16 254 30 268 142 380 352 114 380 142 254 16 680 442 750 512 16 254 352 114 680 442 680 442 142 380 72 310 114 352 114 352 268 30 268 30 142 380 268 30 114 352 352 114 352 114 114 352 30 268 44 282 30 268 352 114 30 268 44 282 30 268 380 142 30 268 16 254 268 30 114 352 750 512 142 380 142 380 142 380 44 282 30 268 114 352 282 44 30 268 114 352 268 30 352 114 30 268 268 30 352 114 268 30 114 352 44 282 352 114 268 30 114 352 30 268 352 114 282 44 114 352 44 282 16 254 30 268 254 16 114 352 380 142 380 142 114 352 30 268 16 254 142 380 114 352 310 72 114 352 268 30 254 16 30 268 142 380 142 380 352 114 352 114 44 282 442 680 254 16 352 114 30 268 30 268 44 282 30 268 680 442 30 268 352 114 44 282 30 268 30 268 114 352 268 30 352 114 142 380 268 30 44 282 750 512 750 512 30 268 254 16 </values> </instantiation>