Computational Intelligence in Integrated Airline Scheduling: Studies in Computational Intelligence, cartea 173
Autor Tobias Groscheen Limba Engleză Hardback – 26 feb 2009
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Specificații
ISBN-13: 9783540898863
ISBN-10: 3540898867
Pagini: 272
Ilustrații: XX, 250 p.
Dimensiuni: 155 x 235 x 21 mm
Greutate: 0.56 kg
Ediția:2009
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540898867
Pagini: 272
Ilustrații: XX, 250 p.
Dimensiuni: 155 x 235 x 21 mm
Greutate: 0.56 kg
Ediția:2009
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Airline Scheduling Process.- Foundations of Metaheuristics.- Integrated Airline Scheduling.- Summary, Conclusions, and Future Work.
Textul de pe ultima copertă
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.
Caracteristici
Presents applications of Computational Intelligence in Integrated Airline Scheduling Includes supplementary material: sn.pub/extras