| Name | Rlfap/Rlfap-opt/ Rlfap-graph-08-opt_c18.xml |
| MD5SUM | edb7fc8f5d274005fc89ddd50225e87c |
| Bench Category | COP (optimization problem) |
| Best result obtained on this benchmark | SAT TO |
| Best value of the objective obtained on this benchmark | 18 |
| Best CPU time to get the best result obtained on this benchmark | 2400.11 |
| Satisfiable | |
| (Un)Satisfiability was proved | |
| Number of variables | 680 |
| Number of constraints | 3757 |
| Number of domains | 7 |
| Minimum domain size | 6 |
| Maximum domain size | 44 |
| Distribution of domain sizes | [{"size":6,"count":48},{"size":22,"count":36},{"size":24,"count":18},{"size":36,"count":122},{"size":42,"count":170},{"size":44,"count":286}] |
| Minimum variable degree | 2 |
| Maximum variable degree | 23 |
| Distribution of variable degrees | [{"degree":2,"count":3},{"degree":3,"count":1},{"degree":4,"count":6},{"degree":5,"count":10},{"degree":6,"count":46},{"degree":7,"count":68},{"degree":8,"count":77},{"degree":9,"count":85},{"degree":10,"count":54},{"degree":11,"count":33},{"degree":12,"count":37},{"degree":13,"count":21},{"degree":14,"count":8},{"degree":15,"count":1},{"degree":16,"count":35},{"degree":17,"count":26},{"degree":18,"count":63},{"degree":19,"count":54},{"degree":20,"count":32},{"degree":21,"count":12},{"degree":22,"count":7},{"degree":23,"count":1}] |
| Minimum constraint arity | 2 |
| Maximum constraint arity | 2 |
| Distribution of constraint arities | [{"arity":2,"count":3757}] |
| Number of extensional constraints | 0 |
| Number of intensional constraints | 3757 |
| Distribution of constraint types | [{"type":"intension","count":3757}] |
| 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: 18<instantiation cost = '18'> <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> 30 268 540 778 470 708 268 30 142 380 380 142 142 380 708 470 540 778 554 792 792 554 72 310 142 380 72 310 498 736 792 554 554 792 142 380 478 240 708 470 792 554 142 380 30 268 142 380 142 380 380 142 30 268 268 30 540 778 268 30 268 30 652 414 652 414 778 540 736 498 142 380 414 652 498 736 72 310 142 380 470 708 72 310 380 142 540 778 736 498 30 268 30 268 540 778 498 736 736 498 414 652 652 414 72 310 142 380 540 778 778 540 540 778 554 792 380 142 652 414 268 30 380 142 792 554 778 540 478 240 268 30 380 142 540 778 142 380 778 540 72 310 30 268 414 652 540 778 792 554 380 142 554 792 470 708 380 142 380 142 778 540 792 554 30 268 30 268 540 778 554 792 470 708 310 72 380 142 268 30 498 736 310 72 498 736 310 72 72 310 310 72 268 30 72 310 30 268 736 498 554 792 30 268 380 142 540 778 792 554 540 778 30 268 142 380 540 778 792 554 414 652 30 268 736 498 540 778 310 72 792 554 268 30 380 142 470 708 736 498 778 540 142 380 310 72 268 30 498 736 310 72 380 142 72 310 498 736 72 310 142 380 470 708 540 778 30 268 540 778 736 498 310 72 380 142 30 268 792 554 72 310 142 380 554 792 470 708 30 268 652 414 268 30 708 470 708 470 30 268 792 554 380 142 414 652 268 30 736 498 380 142 240 478 142 380 310 72 478 240 30 268 540 778 30 268 268 30 310 72 478 240 268 30 30 268 240 478 72 310 380 142 240 478 470 708 554 792 652 414 652 414 268 30 652 414 310 72 478 240 498 736 310 72 554 792 554 792 268 30 478 240 240 478 268 30 30 268 72 310 310 72 554 792 72 310 414 652 470 708 708 470 736 498 380 142 778 540 268 30 792 554 310 72 540 778 30 268 30 268 708 470 554 792 736 498 554 792 72 310 240 478 778 540 380 142 380 142 310 72 736 498 540 778 708 470 142 380 708 470 540 778 268 30 652 414 498 736 72 310 652 414 72 310 540 778 540 778 498 736 310 72 554 792 498 736 414 652 30 268 72 310 380 142 540 778 142 380 792 554 268 30 30 268 414 652 498 736 380 142 498 736 498 736 792 554 380 142 778 540 414 652 72 310 414 652 498 736 142 380 142 380 554 792 708 470 708 470 498 736 652 414 310 72 30 268 554 792 142 380 792 554 380 142 414 652 736 498 498 736 778 540 414 652 736 498 554 792 778 540 778 540 554 792 414 652 778 540 736 498 778 540 708 470 498 736 30 268 540 778 778 540 310 72 30 268 792 554 708 470 310 72 554 792 72 310 380 142 72 310 310 72 268 30 310 72 554 792 736 498 414 652 778 540 414 652 30 268 310 72 380 142 778 540 240 478 380 142 554 792 708 470 708 470 380 142 778 540 310 72 554 792 778 540 268 30 414 652 792 554 652 414 708 470 708 470 268 30 30 268 540 778 142 380 554 792 540 778 708 470 736 498 540 778 30 268 268 30 540 778 792 554 778 540 554 792 72 310 268 30 </values> </instantiation>