Per-Seat, On-Demand Air Transportation Part II: Parallel Local Search

D. Espinoza (), R. Garcia (), M. Goycoolea (), G. L. Nemhauser () and M. W. P. Savelsbergh ()
Additional contact information
D. Espinoza: School of Industrial Engineering, Universidad de Chile, Santiago, Chile
R. Garcia: DayJet Corporation, Boca Raton, Florida 33431
M. Goycoolea: School of Business, Universidad Adolfo Ibáñez, Santiago, Chile
G. L. Nemhauser: H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332
M. W. P. Savelsbergh: H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332

Transportation Science, 2008, vol. 42, issue 3, 279-291

Abstract: The availability of relatively cheap small jet aircrafts suggests a new air transportation business: dial-a-flight, an on-demand service in which travelers call a few days in advance to schedule transportation. A successful on-demand air transportation service requires an effective scheduling system to construct minimum-cost pilot and jet itineraries for a set of accepted transportation requests. In Part I, we introduced an integer multicommodity network flow model with side constraints for the dial-a-flight problem and showed that small instances can be solved effectively. Here, we demonstrate that high-quality solutions for large-scale real-life instances can be produced efficiently by embedding the core optimization technology in a local search scheme. To achieve the desired level of performance, metrics were devised to select neighborhoods intelligently, a variety of search diversification techniques were included, and an asynchronous parallel implementation was developed.

Keywords: air transportation; on-demand service; parallel local search (search for similar items in EconPapers)
Date: 2008
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Citations: View citations in EconPapers (11)

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