Reduction of air traffic congestion by genetic algorithms-Reference-Cited by-同舟云学术

Reduction of air traffic congestion by genetic algorithms

Published:1998 Issue: Volume: Page:855-864
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Oussedik Sofiane,Delahaye Daniel

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/BFb0056927

Reference14 articles.

1. M Ben-Akiva, A DePalma, and I Kaysi. Dynamic network models and driver information systems. Transportation Research, 25A(5):251–266, 1991.

2. D.J Bertsimas and S Stock. The air traffic flow management problem with en-route capacities. Technical report, A.P Sloan School of Management. M.I.T, 1994.

3. E Cascetta and G.E Cantarella. A day-to-day and within-day dynamic stochastic assignment model. Transportation Research, 25A(5):277–291, 1991.

4. R Cerf. Une Théorie Asymptotique des Algorithmes Génétiques. PhD thesis, Université Montpellier II (France), 1994.

5. S Dafermos and F.T Sparrow. The traffic assignment problem for a general network. Journal of Research of the National Bureau of Standards, 73B:91–118, 1969.

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