Ranking for Benchmark ID KS1:JB1:DEU_Muc-13_2_T-1:2018b

In this ranking, we compare the costs of each submission for with respect to the best solution so far. To get a detailed report on the costs for each submission, click on the respective solution.

Rank User Country Organization Method Algorithm Submission Date CPU Processing Time
(ms)
Relative Cost
1 PeterKocsis Germany TUM 2019/12/15 17:43 100.00 %
2 PeterKocsis Germany TUM 2019/12/15 17:45 100.00 %
3 PeterKocsis Germany TUM 2019/12/15 17:50 100.00 %
4 PeterKocsis Germany TUM 2019/12/15 17:56 100.00 %
5 PeterKocsis Germany TUM 2019/12/15 17:58 100.00 %
6 PeterKocsis Germany TUM 2019/12/15 17:57 59083.34 %
7 PeterKocsis Germany TUM 2019/12/15 17:47 91623.91 %
8 PeterKocsis Germany TUM 2019/12/15 17:58 96101.67 %
9 PeterKocsis Germany TUM 2019/12/15 17:59 96859.70 %
10 tk Hong Kong TUM 2019/12/11 17:29 108938.33 %
11 mcanuste Germany TUM 2019/12/15 14:38 122944.63 %
12 mcanuste Germany TUM 2019/12/15 22:24 122944.63 %
13 PeterKocsis Germany TUM 2019/12/15 17:41 125287.00 %
14 Radex Bavaria TUM 2019/12/07 12:34 128851.85 %
15 EdwardFeng China TUM 2019/12/09 00:03 130252.24 %
16 mcanuste Germany TUM 2019/12/14 02:38 132165.00 %
17 mcanuste Germany TUM 2019/12/14 21:25 132165.00 %
18 PeterKocsis Germany TUM 2019/12/15 17:52 206873.31 %
19 PeterKocsis Germany TUM 2019/12/15 17:43 226614.05 %
20 PeterKocsis Germany TUM 2019/12/15 17:45 235616.13 %
21 PeterKocsis Germany TUM 2019/12/15 17:49 236611.22 %
22 PeterKocsis Germany TUM 2019/12/15 16:54 241308.14 %
23 CommonMike Germany Technical University of Munich 2019/12/10 19:59 241864.59 %
24 PeterKocsis Germany TUM 2019/12/15 17:52 244422.77 %
25 PeterKocsis Germany TUM 2019/12/15 17:55 244422.77 %
26 PeterKocsis Germany TUM 2019/12/05 19:05 246170.41 %
27 PeterKocsis Germany TUM 2019/12/15 18:00 265969.03 %
28 PeterKocsis Germany TUM 2019/12/15 17:51 272515.55 %
29 PeterKocsis Germany TUM 2019/12/15 16:54 273353.87 %
30 ZifanZeng China Technische Universität München 2019/12/04 19:28 281174.22 %
31 ZifanZeng China Technische Universität München 2019/12/14 23:51 281174.22 %
32 Country_roads DE TUM 2019/12/08 03:39 283654.91 %
33 PeterKocsis Germany TUM 2019/12/15 17:45 298374.41 %
34 PeterKocsis Germany TUM 2019/12/15 17:41 299101.27 %
35 PeterKocsis Germany TUM 2019/12/15 16:53 306098.50 %
36 julian_shr Germany Technical University Munich 2019/12/08 09:43 322631.30 %
37 liangz Germany TUM 2019/12/14 18:47 322631.30 %
38 PeterKocsis Germany TUM 2019/12/15 17:57 328726.95 %
39 PeterKocsis Germany TUM 2019/12/15 16:54 335696.66 %
40 moritz96 Germany TUM 2019/12/08 23:42 351957.61 %
41 moritz96 Germany TUM 2019/12/08 23:42 351957.61 %
42 Radex Bavaria TUM 2019/12/05 10:08 361853.97 %
43 Radex Bavaria TUM 2019/12/08 19:05 361853.97 %
44 moritz96 Germany TUM 2019/12/08 23:37 367964.28 %
45 PeterKocsis Germany TUM 2019/12/15 17:43 9470359.35 %
46 PeterKocsis Germany TUM 2019/12/15 17:51 9882353.03 %
47 PeterKocsis Germany TUM 2019/12/15 17:56 9882353.08 %
48 PeterKocsis Germany TUM 2019/12/15 17:44 9882353.12 %

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 www.cpubenchmark.net.