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Mathematical Problems in Engineering
Volume 2013 (2013), Article ID 581586, 5 pages
Research Article

Study on Fleet Assignment Problem Model and Algorithm

Aeronautical Engineering College, Civil Aviation University of China, Tianjin 300300, China

Received 9 January 2013; Accepted 26 February 2013

Academic Editor: Jun Zhao

Copyright © 2013 Yaohua Li and Na Tan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The Fleet Assignment Problem (FAP) of aircraft scheduling in airlines is studied, and the optimization model of FAP is proposed. The objective function of this model is revenue maximization, and it considers comprehensively the difference of scheduled flights and aircraft models in flight areas and mean passenger flows. In order to solve the model, a self-adapting genetic algorithm is supposed to solve the model, which uses natural number coding, adjusts dynamically crossover and mutation operator probability, and adopts intelligent heuristic adjusting to quicken optimization pace. The simulation with production data of an airline shows that the model and algorithms suggested in this paper are feasible and have a good application value.