Name | BinPacking/ BinPacking-tab-fu/BinPacking-tab-fu0250-08.xml |
MD5SUM | 52402e3ba0658144258f494f3b2bc7f2 |
Bench Category | COP (optimization problem) |
Best result obtained on this benchmark | SAT TO |
Best value of the objective obtained on this benchmark | 38 |
Best CPU time to get the best result obtained on this benchmark | 257.72198 |
Satisfiable | |
(Un)Satisfiability was proved | |
Number of variables | 883 |
Number of constraints | 150 |
Number of domains | 2 |
Minimum domain size | 79 |
Maximum domain size | 148 |
Distribution of domain sizes | [{"size":79,"count":882},{"size":148,"count":1}] |
Minimum variable degree | 2 |
Maximum variable degree | 4 |
Distribution of variable degrees | [{"degree":2,"count":1},{"degree":3,"count":735},{"degree":4,"count":147}] |
Minimum constraint arity | 6 |
Maximum constraint arity | 882 |
Distribution of constraint arities | [{"arity":6,"count":147},{"arity":148,"count":1},{"arity":882,"count":2}] |
Number of extensional constraints | 147 |
Number of intensional constraints | 0 |
Distribution of constraint types | [{"type":"extension","count":147},{"type":"lex","count":1},{"type":"count","count":1},{"type":"cardinality","count":1}] |
Optimization problem | YES |
Type of objective | max VAR |
This section presents information obtained from the best job displayed in the list (i.e. solvers whose names are not hidden).
objective function: 38<instantiation> <list> x b[0][0] b[0][1] b[0][2] b[0][3] b[0][4] b[0][5] b[1][0] b[1][1] b[1][2] b[1][3] b[1][4] b[1][5] b[2][0] b[2][1] b[2][2] b[2][3] b[2][4] b[2][5] b[3][0] b[3][1] b[3][2] b[3][3] b[3][4] b[3][5] b[4][0] b[4][1] b[4][2] b[4][3] b[4][4] b[4][5] b[5][0] b[5][1] b[5][2] b[5][3] b[5][4] b[5][5] b[6][0] b[6][1] b[6][2] b[6][3] b[6][4] b[6][5] b[7][0] b[7][1] b[7][2] b[7][3] b[7][4] b[7][5] b[8][0] b[8][1] b[8][2] b[8][3] b[8][4] b[8][5] b[9][0] b[9][1] b[9][2] b[9][3] b[9][4] b[9][5] b[10][0] b[10][1] b[10][2] b[10][3] b[10][4] b[10][5] b[11][0] b[11][1] b[11][2] b[11][3] b[11][4] b[11][5] b[12][0] b[12][1] b[12][2] b[12][3] b[12][4] b[12][5] b[13][0] b[13][1] b[13][2] b[13][3] b[13][4] b[13][5] b[14][0] b[14][1] b[14][2] b[14][3] b[14][4] b[14][5] b[15][0] b[15][1] b[15][2] b[15][3] b[15][4] b[15][5] b[16][0] b[16][1] b[16][2] b[16][3] b[16][4] b[16][5] b[17][0] b[17][1] b[17][2] b[17][3] b[17][4] b[17][5] b[18][0] b[18][1] b[18][2] b[18][3] b[18][4] b[18][5] b[19][0] b[19][1] b[19][2] b[19][3] b[19][4] b[19][5] b[20][0] b[20][1] b[20][2] b[20][3] b[20][4] b[20][5] b[21][0] b[21][1] b[21][2] b[21][3] b[21][4] b[21][5] b[22][0] b[22][1] b[22][2] b[22][3] b[22][4] b[22][5] b[23][0] b[23][1] b[23][2] b[23][3] b[23][4] b[23][5] b[24][0] b[24][1] b[24][2] b[24][3] b[24][4] b[24][5] b[25][0] b[25][1] b[25][2] b[25][3] b[25][4] b[25][5] b[26][0] b[26][1] b[26][2] b[26][3] b[26][4] b[26][5] b[27][0] b[27][1] b[27][2] b[27][3] b[27][4] b[27][5] b[28][0] b[28][1] b[28][2] b[28][3] b[28][4] b[28][5] b[29][0] b[29][1] b[29][2] b[29][3] b[29][4] b[29][5] b[30][0] b[30][1] b[30][2] b[30][3] b[30][4] b[30][5] b[31][0] b[31][1] b[31][2] b[31][3] b[31][4] b[31][5] b[32][0] b[32][1] b[32][2] b[32][3] b[32][4] b[32][5] b[33][0] b[33][1] b[33][2] b[33][3] b[33][4] b[33][5] b[34][0] b[34][1] b[34][2] b[34][3] b[34][4] b[34][5] b[35][0] b[35][1] b[35][2] b[35][3] b[35][4] b[35][5] b[36][0] b[36][1] b[36][2] b[36][3] b[36][4] b[36][5] b[37][0] b[37][1] b[37][2] b[37][3] b[37][4] b[37][5] b[38][0] b[38][1] b[38][2] b[38][3] b[38][4] b[38][5] b[39][0] b[39][1] b[39][2] b[39][3] b[39][4] b[39][5] b[40][0] b[40][1] b[40][2] b[40][3] b[40][4] b[40][5] b[41][0] b[41][1] b[41][2] b[41][3] b[41][4] b[41][5] b[42][0] b[42][1] b[42][2] b[42][3] b[42][4] b[42][5] b[43][0] b[43][1] b[43][2] b[43][3] b[43][4] b[43][5] b[44][0] b[44][1] b[44][2] b[44][3] b[44][4] b[44][5] b[45][0] b[45][1] b[45][2] b[45][3] b[45][4] b[45][5] b[46][0] b[46][1] b[46][2] b[46][3] b[46][4] b[46][5] b[47][0] b[47][1] b[47][2] b[47][3] b[47][4] b[47][5] b[48][0] b[48][1] b[48][2] b[48][3] b[48][4] b[48][5] b[49][0] b[49][1] b[49][2] b[49][3] b[49][4] b[49][5] b[50][0] b[50][1] b[50][2] b[50][3] b[50][4] b[50][5] b[51][0] b[51][1] b[51][2] b[51][3] b[51][4] b[51][5] b[52][0] b[52][1] b[52][2] b[52][3] b[52][4] b[52][5] b[53][0] b[53][1] b[53][2] b[53][3] b[53][4] b[53][5] b[54][0] b[54][1] b[54][2] b[54][3] b[54][4] b[54][5] b[55][0] b[55][1] b[55][2] b[55][3] b[55][4] b[55][5] b[56][0] b[56][1] b[56][2] b[56][3] b[56][4] b[56][5] b[57][0] b[57][1] b[57][2] b[57][3] b[57][4] b[57][5] b[58][0] b[58][1] b[58][2] b[58][3] b[58][4] b[58][5] b[59][0] b[59][1] b[59][2] b[59][3] b[59][4] b[59][5] b[60][0] b[60][1] b[60][2] b[60][3] b[60][4] b[60][5] b[61][0] b[61][1] b[61][2] b[61][3] b[61][4] b[61][5] b[62][0] b[62][1] b[62][2] b[62][3] b[62][4] b[62][5] b[63][0] b[63][1] b[63][2] b[63][3] b[63][4] b[63][5] b[64][0] b[64][1] b[64][2] b[64][3] b[64][4] b[64][5] b[65][0] b[65][1] b[65][2] b[65][3] b[65][4] b[65][5] b[66][0] b[66][1] b[66][2] b[66][3] b[66][4] b[66][5] b[67][0] b[67][1] b[67][2] b[67][3] b[67][4] b[67][5] b[68][0] b[68][1] b[68][2] b[68][3] b[68][4] b[68][5] b[69][0] b[69][1] b[69][2] b[69][3] b[69][4] b[69][5] b[70][0] b[70][1] b[70][2] b[70][3] b[70][4] b[70][5] b[71][0] b[71][1] b[71][2] b[71][3] b[71][4] b[71][5] b[72][0] b[72][1] b[72][2] b[72][3] b[72][4] b[72][5] b[73][0] b[73][1] b[73][2] b[73][3] b[73][4] b[73][5] b[74][0] b[74][1] b[74][2] b[74][3] b[74][4] b[74][5] b[75][0] b[75][1] b[75][2] b[75][3] b[75][4] b[75][5] b[76][0] b[76][1] b[76][2] b[76][3] b[76][4] b[76][5] b[77][0] b[77][1] b[77][2] b[77][3] b[77][4] b[77][5] b[78][0] b[78][1] b[78][2] b[78][3] b[78][4] b[78][5] b[79][0] b[79][1] b[79][2] b[79][3] b[79][4] b[79][5] b[80][0] b[80][1] b[80][2] b[80][3] b[80][4] b[80][5] b[81][0] b[81][1] b[81][2] b[81][3] b[81][4] b[81][5] b[82][0] b[82][1] b[82][2] b[82][3] b[82][4] b[82][5] b[83][0] b[83][1] b[83][2] b[83][3] b[83][4] b[83][5] b[84][0] b[84][1] b[84][2] b[84][3] b[84][4] b[84][5] b[85][0] b[85][1] b[85][2] b[85][3] b[85][4] b[85][5] b[86][0] b[86][1] b[86][2] b[86][3] b[86][4] b[86][5] b[87][0] b[87][1] b[87][2] b[87][3] b[87][4] b[87][5] b[88][0] b[88][1] b[88][2] b[88][3] b[88][4] b[88][5] b[89][0] b[89][1] b[89][2] b[89][3] b[89][4] b[89][5] b[90][0] b[90][1] b[90][2] b[90][3] b[90][4] b[90][5] b[91][0] b[91][1] b[91][2] b[91][3] b[91][4] b[91][5] b[92][0] b[92][1] b[92][2] b[92][3] b[92][4] b[92][5] b[93][0] b[93][1] b[93][2] b[93][3] b[93][4] b[93][5] b[94][0] b[94][1] b[94][2] b[94][3] b[94][4] b[94][5] b[95][0] b[95][1] b[95][2] b[95][3] b[95][4] b[95][5] b[96][0] b[96][1] b[96][2] b[96][3] b[96][4] b[96][5] b[97][0] b[97][1] b[97][2] b[97][3] b[97][4] b[97][5] b[98][0] b[98][1] b[98][2] b[98][3] b[98][4] b[98][5] b[99][0] b[99][1] b[99][2] b[99][3] b[99][4] b[99][5] b[100][0] b[100][1] b[100][2] b[100][3] b[100][4] b[100][5] b[101][0] b[101][1] b[101][2] b[101][3] b[101][4] b[101][5] b[102][0] b[102][1] b[102][2] b[102][3] b[102][4] b[102][5] b[103][0] b[103][1] b[103][2] b[103][3] b[103][4] b[103][5] b[104][0] b[104][1] b[104][2] b[104][3] b[104][4] b[104][5] b[105][0] b[105][1] b[105][2] b[105][3] b[105][4] b[105][5] b[106][0] b[106][1] b[106][2] b[106][3] b[106][4] b[106][5] b[107][0] b[107][1] b[107][2] b[107][3] b[107][4] b[107][5] b[108][0] b[108][1] b[108][2] b[108][3] b[108][4] b[108][5] b[109][0] b[109][1] b[109][2] b[109][3] b[109][4] b[109][5] b[110][0] b[110][1] b[110][2] b[110][3] b[110][4] b[110][5] b[111][0] b[111][1] b[111][2] b[111][3] b[111][4] b[111][5] b[112][0] b[112][1] b[112][2] b[112][3] b[112][4] b[112][5] b[113][0] b[113][1] b[113][2] b[113][3] b[113][4] b[113][5] b[114][0] b[114][1] b[114][2] b[114][3] b[114][4] b[114][5] b[115][0] b[115][1] b[115][2] b[115][3] b[115][4] b[115][5] b[116][0] b[116][1] b[116][2] b[116][3] b[116][4] b[116][5] b[117][0] b[117][1] b[117][2] b[117][3] b[117][4] b[117][5] b[118][0] b[118][1] b[118][2] b[118][3] b[118][4] b[118][5] b[119][0] b[119][1] b[119][2] b[119][3] b[119][4] b[119][5] b[120][0] b[120][1] b[120][2] b[120][3] b[120][4] b[120][5] b[121][0] b[121][1] b[121][2] b[121][3] b[121][4] b[121][5] b[122][0] b[122][1] b[122][2] b[122][3] b[122][4] b[122][5] b[123][0] b[123][1] b[123][2] b[123][3] b[123][4] b[123][5] b[124][0] b[124][1] b[124][2] b[124][3] b[124][4] b[124][5] b[125][0] b[125][1] b[125][2] b[125][3] b[125][4] b[125][5] b[126][0] b[126][1] b[126][2] b[126][3] b[126][4] b[126][5] b[127][0] b[127][1] b[127][2] b[127][3] b[127][4] b[127][5] b[128][0] b[128][1] b[128][2] b[128][3] b[128][4] b[128][5] b[129][0] b[129][1] b[129][2] b[129][3] b[129][4] b[129][5] b[130][0] b[130][1] b[130][2] b[130][3] b[130][4] b[130][5] b[131][0] b[131][1] b[131][2] b[131][3] b[131][4] b[131][5] b[132][0] b[132][1] b[132][2] b[132][3] b[132][4] b[132][5] b[133][0] b[133][1] b[133][2] b[133][3] b[133][4] b[133][5] b[134][0] b[134][1] b[134][2] b[134][3] b[134][4] b[134][5] b[135][0] b[135][1] b[135][2] b[135][3] b[135][4] b[135][5] b[136][0] b[136][1] b[136][2] b[136][3] b[136][4] b[136][5] b[137][0] b[137][1] b[137][2] b[137][3] b[137][4] b[137][5] b[138][0] b[138][1] b[138][2] b[138][3] b[138][4] b[138][5] b[139][0] b[139][1] b[139][2] b[139][3] b[139][4] b[139][5] b[140][0] b[140][1] b[140][2] b[140][3] b[140][4] b[140][5] b[141][0] b[141][1] b[141][2] b[141][3] b[141][4] b[141][5] b[142][0] b[142][1] b[142][2] b[142][3] b[142][4] b[142][5] b[143][0] b[143][1] b[143][2] b[143][3] b[143][4] b[143][5] b[144][0] b[144][1] b[144][2] b[144][3] b[144][4] b[144][5] b[145][0] b[145][1] b[145][2] b[145][3] b[145][4] b[145][5] b[146][0] b[146][1] b[146][2] b[146][3] b[146][4] b[146][5] </list> <values> 38 100 50 0 0 0 0 100 50 0 0 0 0 100 50 0 0 0 0 100 50 0 0 0 0 100 49 0 0 0 0 99 51 0 0 0 0 98 52 0 0 0 0 98 51 0 0 0 0 98 51 0 0 0 0 97 53 0 0 0 0 97 53 0 0 0 0 95 55 0 0 0 0 95 55 0 0 0 0 95 55 0 0 0 0 95 55 0 0 0 0 95 55 0 0 0 0 95 54 0 0 0 0 94 56 0 0 0 0 94 56 0 0 0 0 94 56 0 0 0 0 94 56 0 0 0 0 93 57 0 0 0 0 92 58 0 0 0 0 92 58 0 0 0 0 92 58 0 0 0 0 92 58 0 0 0 0 92 56 0 0 0 0 91 59 0 0 0 0 91 59 0 0 0 0 90 60 0 0 0 0 90 60 0 0 0 0 90 59 0 0 0 0 89 61 0 0 0 0 89 61 0 0 0 0 89 61 0 0 0 0 89 54 0 0 0 0 89 54 0 0 0 0 88 62 0 0 0 0 88 62 0 0 0 0 87 63 0 0 0 0 87 63 0 0 0 0 87 63 0 0 0 0 86 64 0 0 0 0 86 64 0 0 0 0 86 64 0 0 0 0 86 63 0 0 0 0 86 62 0 0 0 0 85 65 0 0 0 0 85 65 0 0 0 0 85 65 0 0 0 0 85 51 0 0 0 0 85 51 0 0 0 0 84 66 0 0 0 0 84 66 0 0 0 0 83 67 0 0 0 0 83 67 0 0 0 0 82 68 0 0 0 0 82 68 0 0 0 0 81 66 0 0 0 0 81 62 0 0 0 0 80 62 0 0 0 0 80 53 0 0 0 0 80 53 0 0 0 0 80 53 0 0 0 0 79 51 0 0 0 0 79 51 0 0 0 0 79 51 0 0 0 0 79 49 22 0 0 0 79 49 22 0 0 0 79 48 22 0 0 0 79 42 29 0 0 0 78 48 24 0 0 0 77 47 22 0 0 0 77 47 21 0 0 0 77 47 0 0 0 0 76 47 0 0 0 0 76 46 28 0 0 0 76 40 34 0 0 0 76 40 34 0 0 0 75 46 28 0 0 0 75 45 30 0 0 0 75 45 30 0 0 0 75 45 30 0 0 0 74 27 26 23 0 0 74 27 26 23 0 0 74 27 26 22 0 0 73 69 0 0 0 0 73 69 0 0 0 0 73 68 0 0 0 0 73 68 0 0 0 0 73 68 0 0 0 0 73 64 0 0 0 0 73 44 33 0 0 0 72 44 34 0 0 0 72 44 0 0 0 0 72 44 0 0 0 0 72 43 35 0 0 0 72 43 35 0 0 0 72 42 36 0 0 0 72 42 36 0 0 0 72 41 37 0 0 0 71 40 39 0 0 0 71 0 0 0 0 0 70 40 40 0 0 0 70 38 38 0 0 0 70 37 37 0 0 0 70 36 34 0 0 0 33 32 31 30 0 0 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 </values> </instantiation>