timefold-quickstarts

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 with AI?

You can find a list of quickstarts at https://github.com/TimefoldAI/timefold-quickstarts. Examples include: - School Timetabling - Employee Scheduling - Conference Scheduling - Flight Crew Scheduling Metaheurstics are also very useful for puzzle games; you can quickly run a metaheuristic to generate a difficult but solvable puzzle in less than a second, while only being about 20 lines of code without libraries (but as your scale increases to hundreds of different pieces, you probably want a library so you can use their incremental calculation).

... and usage examples at https://github.com/TimefoldAI/timefold-quickstarts

I once wrote an open source factory design optimizer with Timefold (previously OptaPlanner). It figured out the best layout to produce a particular item, for example green vials. We ended up removing it from the default quickstarts [1], but maybe we should reinstate it in timefold-sandbox? [1] https://github.com/TimefoldAI/timefold-quickstarts/commit/d9...

Well, you still write code. The difference is the code is written either in ordinary Python or Java and not as mathematical equations. For example, to do the "Some employees are qualified to do either role, but others can only be a cashier, or a restocker." constraint in the article, it would be written like this: def required_skill(constraint_factory: ConstraintFactory): return (constraint_factory.for_each(Shift) .filter(lambda shift: shift.required_skill not in shift.employee.skills) .penalize(HardSoftScore.ONE_HARD) .as_constraint("Missing required skill") ) Some examples taken from Timefold quickstarts: - Employee scheduling (https://github.com/TimefoldAI/timefold-quickstarts/tree/stab...) - Vehicle routing (https://github.com/TimefoldAI/timefold-quickstarts/tree/stab...

There is also the Timfold project [1], which continues OptaPlanner and offers ongoing support and further innovation [2]. You can find the documentation here [3] and some helpful examples here [4]. [1] - https://timefold.ai/ [2] - https://timefold.ai/blog/red-hat-optaplanner-end-of-life-not... [3] - https://docs.timefold.ai/timefold-solver/latest/quickstart/o... [4] - https://github.com/TimefoldAI/timefold-quickstarts/

Could you elaborate on how OptaPlanner/Timefold wasn't ergonomic? I 'd love to understand this better, so we can improve it in Timefold Community. To help deal with new problems, we're creating out-of-the-box quickstarts for common use cases: https://github.com/TimefoldAI/timefold-quickstarts As for the Community/Enterprise split - we want to continue the open source project, but we need to eat too :) Geoffrey (Timefold co-founder / OptaPlanner creator)

Take a look at the two Timefold (continuation/fork of OptaPlanner, open source Apache License) quickstarts for vehicle routing: https://github.com/TimefoldAI/timefold-quickstarts/tree/stab... We regularly answer questions on StackOverflow if you run into any issues with it. Disclaimer: I am part of the team behind OptaPlanner/Timefold.