Computational Intelligence in Integrated Airline Scheduling

Name: Computational Intelligence in Integrated Airline Scheduling
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783540898863
Price: 3938 CZK
Availability: InStock

Autor: Tobias Grosche

Jazyk:

Vazba: Pevná

Vydavatel: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Dostupnost: Skladem u dodavatele v malém množství

Odesíláme za 13-18 dnů

3 938 Kč

An airline schedule represents the central planning element of each airline. In general, the objecti...

Informace o knize

Autor

Tobias Grosche

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2009

Stránek

250

EAN

9783540898863

ISBN

3540898867

Enbook ID

01571093

Vydavatel

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Hmotnost

1230

Rozměry

155 x 235 x 21

Kompletní popis

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.

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Computational Intelligence in Integrated Airline Scheduling

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