| Name | Rlfap/Rlfap-opt/ Rlfap-scen-11-opt_c18.xml |
| MD5SUM | 7994f0224337b533c2c19d764e718377 |
| Bench Category | COP (optimization problem) |
| Best result obtained on this benchmark | SAT |
| Best value of the objective obtained on this benchmark | 28 |
| Best CPU time to get the best result obtained on this benchmark | 20071.3 |
| Satisfiable | |
| (Un)Satisfiability was proved | |
| Number of variables | 680 |
| Number of constraints | 4103 |
| Number of domains | 5 |
| Minimum domain size | 6 |
| Maximum domain size | 44 |
| Distribution of domain sizes | [{"size":6,"count":2},{"size":22,"count":10},{"size":24,"count":4},{"size":36,"count":336},{"size":44,"count":328}] |
| Minimum variable degree | 2 |
| Maximum variable degree | 63 |
| Distribution of variable degrees | [{"degree":2,"count":1},{"degree":4,"count":26},{"degree":5,"count":13},{"degree":6,"count":86},{"degree":7,"count":20},{"degree":8,"count":89},{"degree":9,"count":12},{"degree":10,"count":87},{"degree":11,"count":28},{"degree":12,"count":42},{"degree":13,"count":25},{"degree":14,"count":40},{"degree":15,"count":14},{"degree":16,"count":40},{"degree":17,"count":8},{"degree":18,"count":29},{"degree":19,"count":6},{"degree":20,"count":18},{"degree":21,"count":13},{"degree":22,"count":11},{"degree":23,"count":7},{"degree":24,"count":7},{"degree":25,"count":8},{"degree":26,"count":8},{"degree":28,"count":9},{"degree":29,"count":8},{"degree":30,"count":2},{"degree":31,"count":6},{"degree":32,"count":1},{"degree":36,"count":3},{"degree":37,"count":3},{"degree":39,"count":2},{"degree":40,"count":2},{"degree":43,"count":1},{"degree":44,"count":1},{"degree":45,"count":1},{"degree":48,"count":1},{"degree":56,"count":1},{"degree":63,"count":1}] |
| Minimum constraint arity | 2 |
| Maximum constraint arity | 2 |
| Distribution of constraint arities | [{"arity":2,"count":4103}] |
| Number of extensional constraints | 0 |
| Number of intensional constraints | 4103 |
| Distribution of constraint types | [{"type":"intension","count":4103}] |
| 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) | 4297886 | SAT (TO) | 28 | 20071.3 | 2520.14 |
| OscaR - Parallel with EPS 2018-08-14 (complete) | 4309242 | ? (TO) | 2527.15 | 2520.02 | |
| OscaR - Parallel with EPS 2018-07-02 (complete) | 4291875 | Wrong Opt. | 46 | 152.753 | 22.6421 |
This section presents information obtained from the best job displayed in the list (i.e. solvers whose names are not hidden).
objective function: 28<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] </list> <values>16 254 86 324 16 254 722 484 380 142 268 30 268 30 254 16 254 16 310 72 254 16 268 30 128 366 254 16 100 338 254 16 268 30 114 352 30 268 128 366 268 30 366 128 380 142 352 114 268 30 254 16 338 100 554 792 156 394 16 254 324 86 414 652 338 100 414 652 484 722 114 352 764 526 86 324 156 394 338 100 380 142 16 254 72 310 254 16 324 86 128 366 268 30 268 30 254 16 268 30 72 310 324 86 792 554 414 652 156 394 268 30 338 100 254 16 380 142 268 30 268 30 324 86 254 16 254 16 16 254 16 254 156 394 652 414 100 338 694 456 156 394 722 484 254 16 394 156 324 86 310 72 254 16 254 16 86 324 142 380 254 16 254 16 394 156 30 268 694 456 764 526 254 16 142 380 156 394 86 324 394 156 324 86 254 16 394 156 694 456 324 86 16 254 254 16 352 114 324 86 254 16 268 30 142 380 72 310 694 456 254 16 100 338 324 86 310 72 30 268 268 30 338 100 338 100 456 694 114 352 310 72 694 456 254 16 338 100 100 338 338 100 338 100 268 30 86 324 456 694 694 456 254 16 694 456 114 352 114 352 254 16 352 114 694 456 324 86 268 30 310 72 324 86 694 456 268 30 380 142 310 72 694 456 128 366 338 100 310 72 324 86 254 16 16 254 268 30 72 310 114 352 338 100 310 72 268 30 114 352 254 16 100 338 268 30 114 352 268 30 310 72 338 100 338 100 310 72 352 114 254 16 324 86 484 722 268 30 324 86 310 72 268 30 254 16 268 30 254 16 254 16 30 268 254 16 254 16 338 100 254 16 310 72 72 310 30 268 352 114 268 30 310 72 128 366 86 324 268 30 268 30 338 100 30 268 114 352 114 352 16 254 254 16 254 16 366 128 338 100 254 16 338 100 30 268 310 72 268 30 352 114 352 114 694 456 30 268 268 30 268 30 254 16 324 86 338 100 30 268 114 352 764 526 114 352 268 30 324 86 310 72 268 30 380 142 72 310 380 142 254 16 338 100 338 100 380 142 324 86 324 86 254 16 254 16 254 16 128 366 254 16 16 254 30 268 338 100 268 30 338 100 268 30 338 100 268 30 338 100 30 268 394 156 254 16 254 16 254 16 324 86 86 324 554 792 268 30 764 526 338 100 414 652 526 764 380 142 338 100 338 100 30 268 268 30 366 128 338 100 128 366 72 310 268 30 128 366 268 30 352 114 338 100 268 30 100 338 142 380 254 16 324 86 366 128 268 30 310 72 268 30 380 142 254 16 694 456 338 100 268 30 338 100 268 30 338 100 268 30 310 72 30 268 310 72 380 142 338 100 268 30 694 456 338 100 268 30 268 30 338 100 268 30 128 366 254 16 652 414 268 30 338 100 114 352 268 30 16 254 352 114 338 100 268 30 254 16 338 100 324 86 254 16 694 456 694 456 366 128 414 652 114 352 268 30 268 30 338 100 324 86 128 366 268 30 380 142 338 100 324 86 268 30 352 114 310 72 694 456 338 100 366 128 352 114 338 100 156 394 </values> </instantiation>