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Results of the GECCO'2016 1-OBJ Track

"Raw" Result Data

On each problem participants were judged by the best (lowest) function value achieved within the given budget of function evaluations. There were 14 participants in the field. The best function value per problem and participant (1000 times 14 double precision numbers) is listed in this text file.

Participant Ranking

Participants were ranked based on aggregated problem-wise ranks (details here and here). The following results table lists participants with overall scores (higher is better) and the sum of ranks over all problems (lower is better) The table can be sorted w.r.t. these criteria.

rank participant method name method description software paper score  sum of ranks 
1 Simon Wessing Two-stage algorithms link 677.607 5121
2 radka 641.278 4955
3 jarabas 637.327 5702
4 Al Jimenez Curved Trajectories Algorithm (CTA) email link 602.851 6840
5 Artelys Artelys Knitro Artelys Knitro used in derivative-free mode with multistart link link 565.607 6576
6 Lepagnot MSS Hybrid Algorithm 522.657 5798
7 Brevilliers BSA-DE-SA 460.125 6221
8 bujok 447.314 6184
9 Poly Montreal 378.073 7051
10 djagodzi 256.236 8418
11 Sumaiya Iqbal 230.281 8092
12 xd_zecia 125.728 12464
13 anonymous 48.7357 10636
14 anonymous 38.8972 10839

Visualization of Performance Data

The following figure shows an aggregated view on the performance data.

The following figures show the same data, but separately for each problem dimension.