The 2026 edition of the competition has now concluded. This year’s competition featured two tracks, CVRP and CVRPTW, and brought together a diverse range of machine learning-assisted optimisation approaches.
Congratulations to Fei Liu and the HGS-EoH team, who achieved first place in both the CVRP and CVRPTW tracks.
We also congratulate GNN-PopHGS, led by Maria Rooeintan, and LFJ, led by Maksym Terekhov, for achieving second and third place, respectively, in the CVRP track. In the CVRPTW track, LFJ, led by Maksym Terekhov, achieved second place, while MengerFlock, led by Nuwan Ganganath, achieved third place.
The complete rankings of all participating teams are presented in the poster below.
We sincerely thank all participating teams for their valuable contributions to the competition, and we appreciate the support of the GECCO Competition Chairs and the wider GECCO community.
Competition resources, including datasets, evaluation tools, and related materials, are available on the ML4VRP 2026 GitHub repository: https://github.com/ML4VRP/ML4VRP2026.
Congratulations to Fei Liu and the HGS-EoH team for achieving first place in both the CVRP and CVRPTW tracks of the ML4VRP@GECCO 2026 Competition.
The certificate was issued by the GECCO Competition Chairs in recognition of this achievement.