Optimization Model and Algorithm of Unbalanced Aircraft Recovery
In order to deal with Aircraft Recovery effectively for airlines, the classic Resource Assignment Model is expanded by broadening aircraft flow balance constraint and adding flights merger strategy. Besides, integrating the characteristics of Greedy Random Adaptive Search Procedure and Simulated Annealing algorithm, a new Greedy Random Simulated Annealing Algorithm is presented, which reduces the probability of getting a local optimal solution and improves the operating efficiency through restricting the types of aircraft route pairs and the number of candidate solutions. Empirical results demonstrate the ability of the new model and algorithm to quickly explore a wide range of unbalanced scenarios and to produce an optimal or near-optimal solution in time.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784410394
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Supplemental Notes:
- © 2009 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Tang, Xiaowei
- Zhu, Jinfu
- Lu, Honglan
- Gao, Qiang
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Conference:
- Second International Conference on Transportation Engineering
- Location: Chengdu , China
- Date: 2009-7-25 to 2009-7-27
- Publication Date: 2009-7
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: pp 3008-3013
- Monograph Title: International Conference on Transportation Engineering 2009
Subject/Index Terms
- TRT Terms: Aircraft; Airlines; Airport operations; Contingency planning; Flight delays; Optimization; Schedules and scheduling; Simulated annealing
- Subject Areas: Aviation; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01532383
- Record Type: Publication
- ISBN: 9780784410394
- Files: TRIS, ASCE
- Created Date: Jul 31 2014 9:03AM