A Semidefinite Relaxation for Air Traffic Flow Scheduling
| dc.creator | d'Aspremont, Alexandre | |
| dc.creator | Ghaoui, Laurent El | |
| dc.date | 2006-09-26 | |
| dc.date.accessioned | 2026-07-07T07:23:58Z | |
| dc.date.available | 2026-07-07T07:23:58Z | |
| dc.description | We first formulate the problem of optimally scheduling air traffic low with sector capacity constraints as a mixed integer linear program. We then use semidefinite relaxation techniques to form a convex relaxation of that problem. Finally, we present a randomization algorithm to further improve the quality of the solution. Because of the specific structure of the air traffic flow problem, the relaxation has a single semidefinite constraint of size dn where d is the maximum delay and n the number of flights. | |
| dc.description | Submitted to RIVF 2007 | |
| dc.identifier | https://arxiv.org/abs/cs/0609145 | |
| dc.identifier | http://arxiv.org/abs/cs/0609145 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/116179 | |
| dc.subject | Computational Engineering, Finance, and Science | |
| dc.title | A Semidefinite Relaxation for Air Traffic Flow Scheduling | |
| dc.type | text |