622 search results - page 23 / 125 » Stochastic programming approach to optimization under uncert... |
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ISIPTA
2003
IEEE
15 years 5 months ago
2003
IEEE
In this paper we consider decision making under hierarchical imprecise uncertainty models and derive general algorithms to determine optimal actions. Numerical examples illustrate...
MP
2006
14 years 11 months ago
2006
Determining if a solution is optimal or near optimal is fundamental in optimization theory, algorithms, and computation. For instance, Karush-Kuhn-Tucker conditions provide necessa...
CDC
2009
IEEE
15 years 4 months ago
2009
IEEE
— The problem of finding an optimal path in an uncertain graph arises in numerous applications, including network routing, path-planning for vehicles, and the control of finite...
CORR
2010
Springer
14 years 12 months ago
2010
Springer
Solving stochastic optimization problems under partial observability, where one needs to adaptively make decisions with uncertain outcomes, is a fundamental but notoriously diffic...
CCGRID
2008
IEEE
15 years 6 months ago
2008
IEEE
—We formulate the service composition problem as a multi-objective stochastic program which simultaneously optimizes the following quality of service (QoS) parameters: workflow ...