| 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 | 22 |
| Best CPU time to get the best result obtained on this benchmark | 2519.96 |
| 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 |
This section presents information obtained from the best job displayed in the list (i.e. solvers whose names are not hidden).
objective function: 22<instantiation type='solution' cost='22'> <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[68] x[69] x[6] 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>380 394 156 142 380 484 722 324 86 156 394 30 380 142 254 16 338 100 142 380 30 268 268 86 324 324 86 254 16 16 254 484 722 30 394 156 324 86 16 254 86 324 30 268 268 100 338 764 526 16 254 338 100 268 30 254 16 254 324 86 254 16 394 156 380 142 16 394 156 16 254 338 100 268 30 394 156 16 722 484 16 254 414 652 764 526 100 338 254 268 30 338 100 254 16 456 694 142 380 16 254 16 16 254 30 268 100 338 338 100 254 142 254 16 526 764 142 380 554 792 694 456 142 30 268 764 526 142 380 694 456 86 324 380 338 100 268 30 268 30 338 100 694 456 86 380 142 100 338 16 254 86 324 30 268 324 86 324 722 484 268 30 30 268 30 268 484 86 324 16 254 380 142 100 338 100 338 722 100 338 16 254 30 268 338 100 456 694 142 268 30 100 338 268 30 324 86 100 338 380 380 142 86 324 394 156 268 30 268 30 30 268 30 100 338 16 254 30 268 100 338 268 394 142 380 30 268 338 100 30 268 380 142 268 16 254 268 30 100 338 722 484 324 86 30 30 268 254 16 86 324 142 380 86 324 324 324 86 324 86 268 30 30 268 100 338 86 142 380 268 30 16 254 16 254 324 86 86 324 86 16 254 156 394 268 30 16 254 324 16 254 338 100 254 16 254 16 484 722 156 268 30 100 338 456 694 456 694 456 694 394 30 268 338 100 380 142 268 30 694 456 394 254 16 156 394 16 254 380 142 100 338 156 156 380 142 254 16 338 100 324 86 338 100 30 338 100 100 338 30 268 268 30 30 268 268 694 456 142 380 100 338 380 142 694 456 142 30 268 380 142 268 30 30 268 86 324 380 30 268 100 338 30 268 30 268 380 142 156 16 254 100 338 380 142 324 86 16 254 394 16 254 268 30 268 30 142 380 764 526 456 16 254 254 16 268 30 338 100 30 268 694 324 86 30 268 324 86 30 268 100 338 30 30 268 254 16 86 324 86 324 694 456 268 16 16 254 652 414 792 554 394 156 722 484 324 324 86 414 652 380 142 764 526 380 142 86 338 100 30 268 86 324 792 554 100 338 100 30 268 30 268 86 324 694 456 268 30 338 100 338 338 100 268 30 30 268 30 268 156 254 16 156 394 268 30 16 254 268 30 394 30 268 380 142 254 16 30 268 100 338 526 30 268 324 86 30 268 100 338 30 268 764 86 324 324 86 30 268 324 86 156 394 254 30 268 338 100 268 30 86 324 86 324 16 254 268 30 338 100 86 324 722 484 484 722 380 30 268 30 268 100 338 254 16 156 394 142 338 100 268 30 16 254 142 380 30 268 324 380 142 254 16 324 86 338 100 324 86 86 338 100 268 30 142 380 100 338 268 30 254 30 268 380 142 338 100 100 338 142 380 16 30 268 30 268 86 324 30 268 100 338 338 380 142 142 380 324 86 338 100 16 254 100 268 30 554 254 16 156 394 484 722 380 142 268 30 792 254 16 16 254 652 414 16 254 86 324 484 338 100 414 652 268 30 324 86 16 254 722 </values> </instantiation>