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Computational Intelligence in Integrated Airline Scheduling (Hardcover, 2009 ed.)
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Computational Intelligence in Integrated Airline Scheduling (Hardcover, 2009 ed.)
Series: Studies in Computational Intelligence, 173
Expected to ship within 12 - 17 working days
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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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