DIMACS VRP Challenge

Congratulations to Nicole Clark-Johnson! She was recognized by @RutgersSAS for Outstanding Contributions to Operational Excellence. Anyone who has ever attended a DIMACS workshop knows that it is richly deserved! Thank you, Nicole! @RutgersSASMPS

The Workshop on Computational Approaches to Vehicle Routing and the David Johnson Tribute was a real highlight of 2023. We toasted its success in the annual DIMACS poster!

Thanks to @DIMACSCenter @DIMACSChallenge for posting my talk on the traveling salesman problem and the TSP work of the great David S. Johnson. youtube.com/watch?v=F8ZxMs…

And Jon Bentley's talk "Solving small TSPs, with David looking over my shoulder". Programming pearls for the TSP! youtube.com/watch?v=VyhPns… @DIMACSChallenge

Happy to share the video of the presentation about my initial work on a VRP heuristics framework, at the @DIMACSChallenge Workshop. It sure has been a great experience, full of exciting people and insightful presentations. youtu.be/_BuVm8extuQ

Toasting success of the Workshop on Computational Vehicle Routing with @ed_uchoa, @je_mendozag, @KullmanNick, and many students and recent PhDs who were able to attend the workshop. What a nice way to fully conclude the 12th Implementation Challenge! (@JeffLinderoth: #Routibeer?)

Just wrapped up a wonderful workshop that culminated in a fruitful group discussion on the future of routing algorithms. A big thank you to all participants and organizers, especially Tami! @DIMACSChallenge on #VehicleRouting

Group photo of participants of “DIMACS Workshop on Computational Approaches to Vehicle Routing with a Tribute to David Johnson” at #Rutgers

VRPSolverEasy is the first practical tool for the exact solution of VRPs: (1) User-friendly; (2) Covers most classic variants and their combinations; (3) Small running times up to a respectable instance size (like 100 customers) @rrsadykov @najibprog @edu_queiroga

So much happening in computational tools for solving VRPs. Check out the latest from @ed_uchoa! 👇

The workshop on Computational Approaches to Vehicle Routing is happening May 22-24, 2023 @DIMACSCenter! It will feature great talks and a tribute to David S. Johnson, founder of the Implementation Challenges. Details: dimacs.rutgers.edu/events/details…

Last year was rich in challenges, especially for the vehicle routing community! A retrospective of the problem variants and winning strategies by Tamra Carpenter at @DIMACSCenter: dimacs.rutgers.edu/news_archive/c… #ORMS #VehicleRouting #MachineLearning

The Implementation Challenge was a highlight of 2022. Thank you to all who participated!

While #NeurIPS22 on-site workshops are ongoing, we're preparing the virtual competition workshop next week Wednesday Dec 7 13:00 - 16:00 UTC. If you have not done so yet, register for NeurIPS and join the workshop!

We'll have a keynote by @vidalthi, presentations by the finalists and of course the announcement of the results! You can find the full schedule and zoom link here: neurips.cc/virtual/2022/c…. (registration required)

Aaaand it's done! The qualification phase has ended! More than 800 submission were done resulting in almost 50 teams on the leaderboard! Congratulations to the top 10 teams qualifying for the FINALS with their impressive results! :)

Open to the broad VRP community, not restricted to Challenge competitors!

The INFORMS Journal on Computing will publish a Special Section of its Software Tools Area in conjunction with the VRP Implementation Challenge! We invite software and data contributions of interest to the vehicle routing community. CFP: dimacs.rutgers.edu/files/4916/671…

To those who competed in the #DIMACSChallenge, there's still time to submit to the special section of @TranSciJournal edited by @ClaudiaArchett1 @ed_uchoa and @vidalthi. Details: dimacs.rutgers.edu/programs/chall…

Check out this competition on classic and dynamic versions of VRPTW: …neurips-vrp-2022.challenges.ortec.com! It builds on the #DIMACSChallenge and others and it has PRIZES! Follow @EuroNeuripsVRP for updates. Looks like a great event!