Best Submissions

Here we show the best solutions for each benchmark. To see the rankings for a benchmark, please click on the benchmark ID.

Benchmark User Country Organization Processing Time
KS2:SM1:RUS_Bicycle-13_1_T-1:2018b mcanuste Germany TUM 139
KS2:SM1:USA_Lanker-1_2_T-1:2018b commonvehicle Germany TUM / Informatics 134
KS2:SM1:USA_US101-9_2_T-1:2018b mcanuste Germany TUM 134
KS2:SM1:RUS_Bicycle-14_1_T-1:2018b mcanuste Germany TUM 133
KS2:SM1:RUS_Bicycle-1_1_T-1:2018b mcanuste Germany TUM 133
KS2:SM1:USA_Lanker-1_16_T-1:2018b moritz96 Germany TUM 132
KS2:SM1:USA_Lanker-1_6_T-1:2018b rriyaldhi Germany Technical University of Münich 130
KS2:SM1:RUS_Bicycle-5_2_T-1:2018b holtmannm Germany TUM 130
KS2:SM1:USA_US101-27_2_T-1:2018b jakubv Czech Republic TUM 130
KS2:SM1:USA_Lanker-1_7_T-1:2018b EdwardFeng China TUM 129
KS2:SM1:USA_US101-8_3_T-1:2018b mcanuste Germany TUM 125
KS2:SM1:RUS_Bicycle-11_1_T-1:2018b mcanuste Germany TUM 125
KS2:SM1:USA_US101-3_3_T-1:2018b PeterKocsis Germany TUM 124
KS2:SM1:RUS_Bicycle-5_1_T-1:2018b PeterKocsis Germany TUM 124
KS2:SM1:USA_US101-10_2_T-1:2018b holtmannm Germany TUM 123
KS2:SM1:USA_US101-30_1_T-1:2018b mcanuste Germany TUM 121
KS2:SM1:RUS_Bicycle-2_1_T-1:2018b jakubv Czech Republic TUM 120
KS2:SM1:RUS_Bicycle-8_2_T-1:2018b tk Hong Kong TUM 120
KS2:SM1:RUS_Bicycle-10_1_T-1:2018b mcanuste Germany TUM 119
KS2:SM1:USA_Lanker-1_10_T-1:2018b mcanuste Germany TUM 118
KS2:SM1:USA_Lanker-1_18_T-1:2018b mcanuste Germany TUM 118
KS2:SM1:RUS_Bicycle-7_1_T-1:2018b PeterKocsis Germany TUM 117
KS2:SM1:DEU_Muc-23_2_T-1:2018b ga87piw Germany TUM 116
KS2:SM1:USA_US101-33_1_T-1:2018b ga87piw Germany TUM 116
KS2:SM1:RUS_Bicycle-1_2_T-1:2018b mcanuste Germany TUM 116
KS2:SM1:RUS_Bicycle-3_1_T-1:2018b mcanuste Germany TUM 115
KS2:SM1:USA_US101-8_2_T-1:2018b commonvehicle Germany TUM / Informatics 113
KS2:SM1:RUS_Bicycle-7_2_T-1:2018b mcanuste Germany TUM 113
KS2:SM1:RUS_Bicycle-2_2_T-1:2018b jakubv Czech Republic TUM 112
KS2:SM1:RUS_Bicycle-8_1_T-1:2018b ZifanZeng China Technische Universität München 111
KS2:SM1:DEU_Gar-1_1_T-1:2018b jakubv Czech Republic TUM 110
KS2:SM1:RUS_Bicycle-3_3_T-1:2018b mcanuste Germany TUM 108
KS2:SM1:CHN_Sha-6_4_T-1:2018b mcanuste Germany TUM 107
KS2:SM1:RUS_Bicycle-6_1_T-1:2018b valentincervieri Germany TUM 106
KS2:SM1:DEU_Muc-4_2_T-1:2018b tk Hong Kong TUM 106
KS2:SM1:DEU_Ffb-1_1_T-1:2018b commonvehicle Germany TUM / Informatics 106
KS2:SM1:USA_US101-14_4_T-1:2018b jakubv Czech Republic TUM 106
KS2:SM1:RUS_Bicycle-9_1_T-1:2018b tk Hong Kong TUM 104
KS2:SM1:USA_Lanker-1_11_T-1:2018b SteffenChen HUST TUM 104
KS2:SM1:USA_Lanker-1_15_T-1:2018b PeterKocsis Germany TUM 103
KS2:SM1:USA_Lanker-1_8_T-1:2018b ga87piw Germany TUM 101
KS2:SM1:CHN_Sha-4_8_T-1:2018b mcanuste Germany TUM 100
KS2:SM1:USA_Lanker-1_9_T-1:2018b mcanuste Germany TUM 100
KS2:SM1:CHN_Sha-16_2_T-1:2018b mcanuste Germany TUM 100
KS2:SM1:USA_US101-4_2_T-1:2018b jakubv Czech Republic TUM 99
KS2:SM1:RUS_Bicycle-6_2_T-1:2018b valentincervieri Germany TUM 99
KS2:SM1:CHN_Sha-4_3_T-1:2018b mcanuste Germany TUM 98
KS2:SM1:RUS_Bicycle-4_1_T-1:2018b holtmannm Germany TUM 96
KS2:SM1:RUS_Bicycle-4_2_T-1:2018b holtmannm Germany TUM 96
KS2:SM1:USA_US101-13_2_T-1:2018b mcanuste Germany TUM 96
KS2:SM1:USA_US101-4_1_T-1:2018b mcanuste Germany TUM 94
KS2:SM1:USA_US101-14_3_T-1:2018b jakubv Czech Republic TUM 94
KS2:SM1:CHN_Sha-16_1_T-1:2018b tk Hong Kong TUM 94
KS2:SM1:USA_US101-13_3_T-1:2018b jakubv Czech Republic TUM 94
KS2:SM1:CHN_Sha-4_5_T-1:2018b mcanuste Germany TUM 93
KS2:SM1:DEU_Muc-27_2_T-1:2018b mcanuste Germany TUM 91
KS2:SM1:DEU_Ffb-1_6_T-1:2018b tk Hong Kong TUM 90
KS2:SM1:USA_US101-21_2_T-1:2018b tk Hong Kong TUM 90
KS2:SM1:USA_Lanker-2_20_T-1:2018b commonvehicle Germany TUM / Informatics 89
KS2:SM1:CHN_Sha-4_1_T-1:2018b mcanuste Germany TUM 88
KS2:SM1:USA_US101-15_2_T-1:2018b tk Hong Kong TUM 85
KS2:SM1:USA_US101-8_4_T-1:2018b mcanuste Germany TUM 84
KS2:SM1:DEU_Muc-1_2_T-1:2018b mcanuste Germany TUM 84
KS2:SM1:DEU_Muc-27_1_T-1:2018b mcanuste Germany TUM 84
KS2:SM1:USA_US101-32_1_T-1:2018b mcanuste Germany TUM 84
KS2:SM1:USA_US101-25_2_T-1:2018b tk Hong Kong TUM 83
KS2:SM1:USA_US101-22_3_T-1:2018b jakubv Czech Republic TUM 82
KS2:SM1:USA_US101-18_2_T-1:2018b jakubv Czech Republic TUM 82
KS2:SM1:USA_US101-11_3_T-1:2018b tk Hong Kong TUM 82
KS2:SM1:CHN_Sha-6_3_T-1:2018b EdwardFeng China TUM 81
KS2:SM1:USA_US101-23_2_T-1:2018b zhangyang95 Mars TUM informatik 81
KS2:SM1:USA_US101-4_3_T-1:2018b tk Hong Kong TUM 80
KS2:SM1:USA_US101-19_2_T-1:2018b mcanuste Germany TUM 80
KS2:SM1:USA_US101-10_3_T-1:2018b tk Hong Kong TUM 80
KS2:SM1:USA_US101-1_2_T-1:2018b tk Hong Kong TUM 80
KS2:SM1:USA_Lanker-2_23_T-1:2018b tk Hong Kong TUM 79
KS2:SM1:USA_Lanker-2_18_T-1:2018b jakubv Czech Republic TUM 78
KS2:SM1:USA_US101-20_2_T-1:2018b zhangyang95 Mars TUM informatik 78
KS2:SM1:DEU_Gar-1_2_T-1:2018b mcanuste Germany TUM 78
KS2:SM1:CHN_Sha-6_5_T-1:2018b PeterKocsis Germany TUM 78
KS2:SM1:USA_US101-29_2_T-1:2018b tk Hong Kong TUM 78
KS2:SM1:USA_US101-6_2_T-1:2018b jakubv Czech Republic TUM 78
KS2:SM1:CHN_Sha-2_2_T-1:2018b PeterKocsis Germany TUM 77
KS2:SM1:RUS_Bicycle-12_1_T-1:2018b jakubv Czech Republic TUM 77
KS2:SM1:CHN_Sha-6_8_T-1:2018b yuzigu Germany TUM 76
KS2:SM1:USA_US101-12_3_T-1:2018b Radex Bavaria TUM 76
KS2:SM1:CHN_Sha-6_9_T-1:2018b mcanuste Germany TUM 76
KS2:SM1:USA_US101-31_1_T-1:2018b jakubv Czech Republic TUM 76
KS2:SM1:CHN_Sha-6_6_T-1:2018b PeterKocsis Germany TUM 75
KS2:SM1:USA_US101-12_2_T-1:2018b hans1266 Canada Technical University of Munich 75
KS2:SM1:USA_US101-29_1_T-1:2018b valentincervieri Germany TUM 75
KS2:SM1:DEU_Muc-9_2_T-1:2018b EdwardFeng China TUM 74
KS2:SM1:CHN_Sha-6_2_T-1:2018b EdwardFeng China TUM 74
KS2:SM1:CHN_Sha-6_1_T-1:2018b PeterKocsis Germany TUM 74
KS2:SM1:CHN_Sha-2_5_T-1:2018b EdwardFeng China TUM 73
KS2:SM1:CHN_Sha-2_6_T-1:2018b valentincervieri Germany TUM 68
KS2:SM1:CHN_Sha-6_10_T-1:2018b PeterKocsis Germany TUM 67
KS2:SM1:USA_US101-27_3_T-1:2018b tk Hong Kong TUM 67
KS2:SM1:USA_US101-8_1_T-1:2018b off_richard Germany TUM 64
KS2:SM1:CHN_Sha-6_7_T-1:2018b CommonMike Germany Technical University of Munich 64

Normalized processing times: To provide comparable values for the processing times that were required to calculate each solution, we normalize processing times depending on the CPU that was used. If a user supplies CPU and processing time, the normalized time will be shown in green whereas the actual calculation time can be found in the brackets. We base the normalization on up-to-date data from