The University of Southampton
University of Southampton Institutional Repository

Heuristic algorithms for aircraft sequencing problem

Heuristic algorithms for aircraft sequencing problem
Heuristic algorithms for aircraft sequencing problem
Hancerliogullari, Gulsah
5aaaae7e-ca5a-493d-b725-7949b5d3689b
Rabadi, Ghaith
1f2bc3da-2245-42b4-9edb-9e87ca2966bd
Al-Salem, Ameer
8798ebad-14fd-4d6a-8138-f5e753a2917f
Kharbeche, Mohamed
a569c6c1-8e02-435e-b9bb-c8a5bb7b499d
Hancerliogullari, Gulsah
5aaaae7e-ca5a-493d-b725-7949b5d3689b
Rabadi, Ghaith
1f2bc3da-2245-42b4-9edb-9e87ca2966bd
Al-Salem, Ameer
8798ebad-14fd-4d6a-8138-f5e753a2917f
Kharbeche, Mohamed
a569c6c1-8e02-435e-b9bb-c8a5bb7b499d

Hancerliogullari, Gulsah, Rabadi, Ghaith, Al-Salem, Ameer and Kharbeche, Mohamed (2012) Heuristic algorithms for aircraft sequencing problem. 33rd International Annual Conference of the American Society for Engineering Management, Virginia Beach, United States. 16 - 19 Oct 2012.

Record type: Conference or Workshop Item (Paper)

This record has no associated files available for download.

More information

Published date: 17 October 2012
Venue - Dates: 33rd International Annual Conference of the American Society for Engineering Management, Virginia Beach, United States, 2012-10-16 - 2012-10-19
Organisations: Centre of Excellence for International Banking, Finance & Accounting

Identifiers

Local EPrints ID: 359849
URI: http://eprints.soton.ac.uk/id/eprint/359849
PURE UUID: 2fb60e83-fcfc-49c7-b38f-7f6fcb1d4213

Catalogue record

Date deposited: 14 Nov 2013 14:40
Last modified: 08 Jan 2022 09:13

Export record

Contributors

Author: Gulsah Hancerliogullari
Author: Ghaith Rabadi
Author: Ameer Al-Salem
Author: Mohamed Kharbeche

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×