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Proceedings Paper

Flight plan optimization
Author(s): Anoop Dharmaseelan; Keyne D. Adistambha
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Paper Abstract

Fuel cost accounts for 40 percent of the operating cost of an airline. Fuel cost can be minimized by planning a flight on optimized routes. The routes can be optimized by searching best connections based on the cost function defined by the airline. The most common algorithm that used to optimize route search is Dijkstra’s. Dijkstra’s algorithm produces a static result and the time taken for the search is relatively long. This paper experiments a new algorithm to optimize route search which combines the principle of simulated annealing and genetic algorithm. The experimental results of route search, presented are shown to be computationally fast and accurate compared with timings from generic algorithm. The new algorithm is optimal for random routing feature that is highly sought by many regional operators.

Paper Details

Date Published: 22 May 2015
PDF: 8 pages
Proc. SPIE 9498, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2015, 949807 (22 May 2015); doi: 10.1117/12.2178144
Show Author Affiliations
Anoop Dharmaseelan, Flight Focus Pte Ltd. (Singapore)
SIM Univ. (Singapore)
Keyne D. Adistambha, Flight Focus Pte Ltd. (Singapore)

Published in SPIE Proceedings Vol. 9498:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2015
Jerome J. Braun, Editor(s)

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