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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 →