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Science/Engineering Online Optimization of Large Scale Systems: State of the Art

Posted on 2010-03-16




Name:Science/Engineering Online Optimization of Large Scale Systems: State of the Art
ASIN/ISBN:3540424598
Language:English
File size:14 Mb
Publish Date: 2001-10-16
ISBN: 3540424598
Pages: 803 pages
File Type: PDF
File Size: 14 MB
Other Info: Springer
   Science/Engineering Online Optimization of Large Scale Systems: State of the Art

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Martin Grötschel, Sven O. Krumke, Jörg Rambau "Online Optimization of Large Scale Systems: State of the Art"

Whether costs are to be reduced, profits to be maximized, or scarce resources to be used wisely, optimization methods are available to guide decision making. In online optimization the main issue is incomplete data, and the scientific challenge: How well can an online algorithm perform? Can one guarantee solution quality, even without knowing all data in advance? In real-time optimization there is an additional requirement, decisions have to be computed very fast in relation to the time frame of the instance we consider. Online and real-time optimization problems occur in all branches of optimization. These areas have developed their own techniques but they are addressing the same issues: quality, stability, and robustness of the solutions. To fertilize this emerging topic of optimization theory and to foster cooperation between the different branches of optimization, the Deutsche Forschungsgemeinschaft (DFG) has supported a Priority Programme "Online Optimization of Large Systems".

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