Results of the GECCO'2018 1-OBJ expensive 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 13 participants in the field. The best function value per problem and participant (1000 times 13 double precision numbers) is listed in this text file.
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||Nbelkhir||gaussian processes + Local search||Robust optimization for finding initial search point + multiple local search||815.239||4966|
|4||LTM@TUK & Moving@UNIFI||509.01||5745|
|5||LocalSolver||LocalSolver 8.0||LocalSolverBlackbox 8.0 with default parameters||426.768||6873|
|10||GERAD||PSD-MADS||Serial version of PSD-MADS, based on MADS and using the NOMAD software.||link||link||218.277||8007|
|13||Simon Wessing||ALGSS||Approximately latinized generalized stratified sampling||link||link||28.588||11117|
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.