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Titlebook: Robust and Online Large-Scale Optimization; Models and Technique Ravindra K. Ahuja,Rolf H. M?hring,Christos D. Zaro Book 2009 Springer-Verl

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書目名稱Robust and Online Large-Scale Optimization
副標題Models and Technique
編輯Ravindra K. Ahuja,Rolf H. M?hring,Christos D. Zaro
視頻videohttp://file.papertrans.cn/832/831384/831384.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Robust and Online Large-Scale Optimization; Models and Technique Ravindra K. Ahuja,Rolf H. M?hring,Christos D. Zaro Book 2009 Springer-Verl
描述.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..
出版日期Book 2009
關(guān)鍵詞Graph; algorithms; disruption management; performance; railway systems; recoverable robustness; reliabilit
版次1
doihttps://doi.org/10.1007/978-3-642-05465-5
isbn_softcover978-3-642-05464-8
isbn_ebook978-3-642-05465-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2009
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Light Robustnessms, one is typically required to determine a robust solution, i.e., a possibly suboptimal solution whose feasibility and cost is not affected heavily by the change of certain input coefficients. Two main classes of methods have been proposed in the literature to handle uncertainty: stochastic progra
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A Bicriteria Approach for Robust Timetablingm or of a solution have been suggested. However, there is always a trade-off between the best possible solution and a robust solution, called the price of robustness. In this paper, we analyze this trade-off using the following bicriteria approach. We treat an optimization problem as a bicriteria pr
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Meta-heuristic and Constraint-Based Approaches for Single-Line Railway Timetablingigence, which are able to cope with large scale problems as those in single-line railway timetable optimization. Timetable design is a central problem in railway planning. In the basic timetabling problem, we are given a line plan as well as demand and infrastructure information. The goal is to comp
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