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Drools solver Javapolis 2007 slides

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The BOF was a success and as promised, I ‘ve posted the slides online: Javapolis 2007 slides and speaker notes (ODF) Javapolis 2007 slides and speaker notes (PDF) People asked a bunch of interesting questions afterwards.One question I felt I left a bit unanswered: how do you weigh your constraints in DRL? So, here’s aRead more →

Drools solver @ Javapolis

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I ‘ll hold a Drools Solver BOF at Javapolis 2007 on Tuesday December 11th at 20:00. You’re all invited 🙂Take a look at the schedule here.Take a look the contents of the BOF here. The drools solver manual has also been expanded with more info about the examples:Take a look at the updated manual here.Read more →

Drools solver in a nutshell

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Drools-solver combines a search algorithm with the power of the drools rule engine to solve planning problems, such as: Employee shift rostering Freight routing Supply sorting Lesson scheduling Exam scheduling The traveling salesmen problem The traveling tournament problem Drools-solver supports several search algorithms, such as simple local search, tabu search and simulated annealing. You canRead more →

Local search 101 (Geoffrey De Smet)

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I am working on a local search implementation on top of Drools.My proof of concept is already able to tackle planning problems such as: NQueens A simplified lesson schedule with teachers, groups, lessons and timeslots. Traveling Tournament Problem (TTP) (only breaking old records at the moment though) Local search and Drools turns out to beRead more →