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Scheduled transportation networks give rise to very complex and
large-scale networkoptimization problems requiring innovative
solution techniques and ideas from mathematical optimization and
theoretical computer science. Examples of scheduled transportation
include bus, ferry, airline, and railway networks, with the latter
being a prime application domain that provides a fair amount of the
most complex and largest instances of such optimization problems.
Scheduled transport optimization deals with planning and scheduling
problems over several time horizons, and substantial progress has
been made for strategic planning and scheduling problems in all
transportation domains.
This state-of-the-art survey presents the outcome of an open
call for contributions asking for either research papers or
state-of-the-art survey articles. We received 24 submissions that
underwent two rounds of the standard peer-review process, out of
which 18 were finally accepted for publication.
The volume is organized in four parts: Robustness and
Recoverability, Robust Timetabling and Route Planning, Robust
Planning Under Scarce Resources, and Online Planning: Delay and
Disruption Management.
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Network Flows (Hardcover)
Ravindra K. Ahuja; Created by Sloan School of Management; Thomas L. Magnanti
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R910
Discovery Miles 9 100
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Ships in 10 - 15 working days
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Network Flows (Paperback)
Ravindra K. Ahuja; Created by Sloan School of Management; Thomas L. Magnanti
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R596
Discovery Miles 5 960
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Ships in 10 - 15 working days
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