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Airline Crew Scheduling with Potts Neurons

Lagerholm, Martin LU ; Peterson, Carsten LU and Söderberg, Bo LU (1997) In Neural Computation 9(7). p.1589-1599
Abstract

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... (More)

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.

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Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to journal
publication status
published
in
Neural Computation
volume
9
issue
7
pages
11 pages
publisher
MIT Press
external identifiers
  • scopus:0004688683
ISSN
0899-7667
language
English
LU publication?
yes
id
55ddbd6b-ae5e-4e74-b7d1-0bac1794e98b
date added to LUP
2016-10-03 19:14:43
date last changed
2022-12-14 02:58:11
@article{55ddbd6b-ae5e-4e74-b7d1-0bac1794e98b,
  abstract     = {{<p>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)<sup>3</sup>. 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.</p>}},
  author       = {{Lagerholm, Martin and Peterson, Carsten and Söderberg, Bo}},
  issn         = {{0899-7667}},
  language     = {{eng}},
  month        = {{10}},
  number       = {{7}},
  pages        = {{1589--1599}},
  publisher    = {{MIT Press}},
  series       = {{Neural Computation}},
  title        = {{Airline Crew Scheduling with Potts Neurons}},
  volume       = {{9}},
  year         = {{1997}},
}