Overview
- Presents applications of Computational Intelligence in Integrated Airline Scheduling
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 173)
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Table of contents (5 chapters)
Keywords
About this book
An airline schedule represents the central planning element of each airline. In general, the objective of airline schedule optimization is to find the airline schedule that maximizes operating profit. This planning task is not only the most important but also the most complex task an airline is confronted with. Until now, this task is performed by dividing the overall planning problem into smaller and less complex subproblems that are solved separately in a sequence. However, this procedure is only of minor capability to deal with interdependencies between the subproblems, resulting in less profitable schedules than those being possible with an approach solving the airline schedule optimization problem in one step. In this work, two planning approaches for integrated airline scheduling are presented. One approach follows the traditional sequential approach: existing models from literature for individual subproblems are implemented and enhanced in an overall iterative routine allowing to construct airline schedules from scratch. The other planning appraoch represents a truly simultaneous airline scheduling: using metaheuristics, airline schedules are processed and optimized at once without a separation into different optimization steps for its subproblems.
Authors and Affiliations
Bibliographic Information
Book Title: Computational Intelligence in Integrated Airline Scheduling
Authors: Tobias Grosche
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-540-89887-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Hardcover ISBN: 978-3-540-89886-3Published: 26 February 2009
Softcover ISBN: 978-3-642-10059-8Published: 28 October 2010
eBook ISBN: 978-3-540-89887-0Published: 23 December 2008
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XX, 250
Topics: Mathematical and Computational Engineering, Artificial Intelligence, Organization, Automotive Engineering