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    CCE
    2004
    162views Software Engineering» more  CCE 2004»
    An algorithmic framework for improving heuristic solutions: Part II. A new version of the stochastic traveling salesman problem
    14 years 11 months ago
    An algorithmic framework for improving heuristic solutions: Part II. A new version of the stochastic traveling salesman problem
    Download  www.che.gatech.edu
    The algorithmic framework developed for improving heuristic solutions of the new version of deterministic TSP [Choi et al., 2002] is extended to the stochastic case. To verify the...
    Jaein Choi, Jay H. Lee, Matthew J. Realff
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    IFIP
    2009
    Springer
    102views Programming Languages» more  IFIP 2009»
    A General Framework for Nondeterministic, Probabilistic, and Stochastic Noninterference
    15 years 5 months ago
    A General Framework for Nondeterministic, Probabilistic, and Stochastic Noninterference
    Download  www.sti.uniurb.it
    Alessandro Aldini, Marco Bernardo
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    4OR
    2006
    99views more  4OR 2006»
    A decomposition-based solution method for stochastic mixed integer nonlinear programs
    14 years 11 months ago
    A decomposition-based solution method for stochastic mixed integer nonlinear programs
    Download  www.math.bme.hu
    This is a summary of the main results presented in the author's PhD thesis, supervised by D. Conforti and P. Beraldi and defended on March 2005. The thesis, written in English...
    Maria Elena Bruni
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    ANOR
    2010
    110views more  ANOR 2010»
    Re-solving stochastic programming models for airline revenue management
    14 years 11 months ago
    Re-solving stochastic programming models for airline revenue management
    Download  www.optimization-online.org
    We study some mathematical programming formulations for the origin-destination model in airline revenue management. In particular, we focus on the traditional probabilistic model ...
    Lijian Chen, Tito Homem-de-Mello
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    CDC
    2008
    IEEE
    137views Control Systems» more  CDC 2008»
    An approximate dynamic programming approach to probabilistic reachability for stochastic hybrid systems
    15 years 5 months ago
    An approximate dynamic programming approach to probabilistic reachability for stochastic hybrid systems
    Download  ifly.nlr.nl
    — This paper addresses the computational overhead involved in probabilistic reachability computations for a general class of controlled stochastic hybrid systems. An approximate ...
    Alessandro Abate, Maria Prandini, John Lygeros, Sh...
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