PLEIADES: an internet-based parallel/distributed system
Software—Practice & Experience
Crew Pairing Optimization with Genetic Algorithms
SETN '02 Proceedings of the Second Hellenic Conference on AI: Methods and Applications of Artificial Intelligence
Efficient trip generation with a rule modeling system for crew scheduling problems
Journal of Systems and Software
SchedSP: a Grid-based application service provider of scheduling solutions: Research Articles
Software—Practice & Experience
SchedSP: providing GRID-enabled real-world scheduling solutions as application services
EuroWeb'02 Proceedings of the 2002 international conference on EuroWeb
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The crew planning problem has been successfully solved on a loosely connected network of workstations (NOW) using advanced computational techniques and efficient communication patterns. The parallelization of the successful sequential system of Carmen Systems AB guarantees that the results are immediately useful and applicable to a large number of airlines scheduling problems. The parallel pairing generator component of the crew scheduling process achieves a linear speedup on the number of processors and can be efficiently scaled to a large number of processors. The novel parallel optimizer approach of the paper also achieves almost linear speedups for large problems solved on a small number of workstations. The Lufthansa problems that were used in our experiments validate our theoretical results and prove the value and usefulness of our work.