
Carsten Peterson
Expert

Airline Crew Scheduling with Potts Neurons
Författare
Summary, in English
A Potts feedback neural network approach for finding good solutions to resource allocation problems with a nonfixed topology is presented. As a target application, the airline crew scheduling problem is chosen. The topological complication is handled by means of a propagator defined in terms of Potts neurons. The approach is tested on artificial random problems tuned to resemble real-world conditions. Very good results are obtained for a variety of problem sizes. The computer time demand for the approach only grows like (number of flights)3. A realistic problem typically is solved within minutes, partly due to a prior reduction of the problem size, based on an analysis of the local arrival and departure structure at the single airports.
Avdelning/ar
- Computational Biology and Biological Physics
Publiceringsår
1997-10-01
Språk
Engelska
Sidor
1589-1599
Publikation/Tidskrift/Serie
Neural Computation
Volym
9
Issue
7
Dokumenttyp
Artikel i tidskrift
Förlag
MIT Press
Aktiv
Published
ISBN/ISSN/Övrigt
- ISSN: 0899-7667