Viewing profile — ge0ffrey

We run the Mittelman VRPLib benchmarks at Timefold (and beat other open source solvers like or-tools in 95%+ of the X datasets). But they are not representive of the real world, at…

That being said: I fully agree that the solver industry as a whole has focused for far too long on global optima for academic requirements, instead of real-world use for the actual…

I beg to differ. Timefold is used daily in real-world operations. Neither our clusters in the US or EU can afford to go down for a minute, or business operations in logistics, reta…

Our version of a Solver as a Service deals with cases of up to 390'000 shifts in a single dataset for shift scheduling and 30'000 visits for vehicle routing problems. Some our cust…

There is an audience for such platforms - Timefold Platform optimizes 1,000,000 visits and 2,000,000 shifts per week - but only if it's more than just orchestration. If it handles …

Sounds similar to Timefold Platform: app.timefold.ai That's our Solver as a Service for scheduling problems (vehicle routing problem, shift scheduling, job scheduling, etc). It run…

Ideally, the solver doesn't just run on the backend, it's also orchestrated to run a pod per solver, with scale to zero.

I wonder if the same can be done with Timefold's quickstarts https://github.com/TimefoldAI/timefold-quickstarts Did you transpile OR tools's entire codebase from C++ to JavaScript …

Nonsense. Timefold Solver and other open source vehicle routing problem solvers deliver better results in less time, with affordable hardware, especially for real-world complexity.…

For Job Shop Scheduling like this, Timefold has two implementations: - Basic: an open source Food Packaging quickstart on solver.timefold.ai - Advanced: a Job Scheduling REST API o…

Other open source solvers: - Timefold Solver (not MIP, focussed on vehicle routing, job scheduling, shift rostering, etc): http://solver.timefold.ai - Several solvers at COIN-OR: h…

I would argue that inputting a loadBalance(sum(shift.duration)) function per employee is a higher level abstraction than inputting a quadratic math equation to accomplish the same …

There is truth in this. Without involving the human planners, the project won't succeed. We're empowering them, with PlanningAI assistance, so they can focus on what they planning …

A 10% productivity gain is a lot for any company, regardless if they are operating a fleet of 50 or 50 000 vehicles. However, the cost and risk to achieve that productivity gain is…

The Project Job Scheduling example was terrible. We deleted it, and replaced it with the much cleaner Food Packaging quickstart. Out of all our quickstarts, Project Job Scheduling …

Our goal is to make planning optimization easy. But planning optimization can be extremely complex. So it took us quite some time to make it easy. Timefold Solver is already a lot …

Definitely! I'll let her know :)

Thank you!

Those examples are available in Java, Python and Kotlin. We also have an overview of our open source solver here: https://timefold.ai/open-source-solver

We support Simulated Annealing too, as well as Tabu Search and many others. By default Timefold Solver uses Late Acceptance, which behaves like Simulated Annealing but isn't parame…

Yes! These days, to handle cases with more work than resources to do it, medium constraints are used a lot too (so hard/medium/soft constaints), to penalize the amount of unassigne…

Take a look at OSRM. For the Timefold Field Service Routing REST APIs, we have a maps service that runs OSRM under hood by default, but supports alternative map providers too. It c…

Thanks for sharing your story too, Yorak. Yes, having in-house expertise to integration optimization into their existing tools is hard. Especially if they use low level solver APIs…

When you make the leap, you're basically living of off your savings. Until the startup has investors that agree to pay the founders a wage (to reduce personal financial stress so t…