# Results of the EMO'2017 Real-world Problems Track

## "Raw" Result Data

On each problem participants were judged by the overall dominated hypervolume within the given budget of function evaluations. There were 10 participants in the field. The best function value per problem and participant (10 times 10 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 (however, for this track the rankings happen to coincide).

rank | participant | method name | method description | software | paper | score | sum of ranks |
---|---|---|---|---|---|---|---|

1 | Simon Wessing | Model-based HV-maximization | 8.96415 | 26 | |||

2 | Julien Bect | BMOO | EHVI / GP / SMC | link | 8.15735 | 32 | |

3 | Amin | PADDS-CHC | 5.56708 | 42 | |||

4 | John T | Modified multi-objective mutation-based | 5.15331 | 43 | |||

5 | Daniel Horn | SMS-EGO | SMS-EGO implementation from R-package mlrMBO | link | link | 4.66084 | 47 |

6 | DIKU, University of Copenhagen | 2.63764 | 60 | ||||

7 | Al Jimenez | Curved Trajectories Algorithm (CTA) | Contact author aljimenez@ieee.org | link | 1.0199 | 68 | |

8 | Artelys | Artelys Knitro | Artelys Knitro used in derivative-free mode with multistart | link | link | 1.0116 | 75 |

9 | AndersGoran | 0.0953102 | 75 | ||||

10 | Matador | (Bugged) | 0.0953102 | 82 |