WorldCat Linked Data Explorer

http://worldcat.org/entity/work/id/369495374

Robust and online large-scale optimization : models and techniques for transportation systems

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 volumeis organized in four parts: Robustness and Recoverability, Robust Timetabling and Route Planning, Robust Planning Under Scarce Resources, andOnlinePlanning: Delay and Disruption Management.

Open All Close All

http://schema.org/about

http://schema.org/description

  • "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 volumeis organized in four parts: Robustness and Recoverability, Robust Timetabling and Route Planning, Robust Planning Under Scarce Resources, andOnlinePlanning: Delay and Disruption Management."@en

http://schema.org/genre

  • "Llibres electrònics"
  • "Electronic books"@en
  • "Electronic books"
  • "Aufsatzsammlung"@en
  • "Aufsatzsammlung"
  • "Online-Publikation"

http://schema.org/name

  • "Robust and online large scale optimization models and techniques for transportation systems"
  • "Robust and online large-scale optimization : models and techniques for transportation systems"
  • "Robust and online large-scale optimization : models and techniques for transportation systems"@en
  • "Robust and Online Large-Scale Optimization Models and Techniques for Transportation Systems"
  • "Robust and online large-scale optimization models and techniques for transportation systems"@en
  • "Robust and online large-scale optimization models and techniques for transportation systems"
  • "Robust and Online Large-Scale Optimization : Models and Techniques for Transportation Systems"
  • "Robust and Online Large-Scale Optimization"@en
  • "Robust and Online Large-Scale Optimization"
  • "Robust and online large scale optimization : models and techniques for transportation systems"