Robust and Online Large-Scale Optimization: Models and Techniques for Transportation Systems (Lecture Notes in Computer Science / Theoretical Computer Science and General Issues)

Robust and Online Large-Scale Optimization: Models and Techniques for Transportation Systems (Lecture Notes in Computer Science / Theoretical Computer Science and General Issues)

by Christos D . Zaroliagis (Editor), RolfH.Möhring (Editor), RavindraK.Ahuja (Editor)

Synopsis

Scheduled transportation networks give rise to very complex and large-scale network optimization 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.

$95.47

Quantity

20 in stock

More Information

Format: Paperback
Pages: 423
Edition: 1
Publisher: Springer
Published: 26 Oct 2009

ISBN 10: 3642054641
ISBN 13: 9783642054648