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    INFORMS
    2006
    83views more  INFORMS 2006»
    Dynamic-Programming Approximations for Stochastic Time-Staged Integer Multicommodity-Flow Problems
    13 years 5 months ago
    Dynamic-Programming Approximations for Stochastic Time-Staged Integer Multicommodity-Flow Problems
    Download  www.castlelab.princeton.edu
    Huseyin Topaloglu, Warren B. Powell
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    CCE
    2008
    282views Software Engineering» more  CCE 2008»
    Chance constrained programming approach to process optimization under uncertainty
    13 years 5 months ago
    Chance constrained programming approach to process optimization under uncertainty
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    Deterministic optimization approaches have been well developed and widely used in the process industry to accomplish off-line and on-line process optimization. The challenging tas...
    Pu Li, Harvey Arellano-Garcia, Günter Wozny
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    CCE
    2004
    155views Software Engineering» more  CCE 2004»
    Dynamic programming in a heuristically confined state space: a stochastic resource-constrained project scheduling application
    13 years 5 months ago
    Dynamic programming in a heuristically confined state space: a stochastic resource-constrained project scheduling application
    Download  www.che.gatech.edu
    The Resource-Constrained Project Scheduling Problem(RCPSP) is a significant challenge in highly regulated industries, such as pharmaceuticals and agrochemicals, where a large numb...
    Jaein Choi, Matthew J. Realff, Jay H. Lee
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    NIPS
    1993
    128views Information Technology» more  NIPS 1993»
    Convergence of Stochastic Iterative Dynamic Programming Algorithms
    13 years 6 months ago
    Convergence of Stochastic Iterative Dynamic Programming Algorithms
    Download  www.bitsavers.org
    Recent developments in the area of reinforcement learning have yielded a number of new algorithms for the prediction and control of Markovian environments. These algorithms,includ...
    Tommi Jaakkola, Michael I. Jordan, Satinder P. Sin...
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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
    13 years 5 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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