A Generalized Knapsack-Problem Based Decomposition Heuristic for Solving Multistage Stochastic Programs with Endogenous and/or Exogenous Uncertainties
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DOI: 10.1021/acs.iecr.8b00822
Abstract: Optimization problems with decision-dependent (endogenous) and/or decision-independent (exogenous) uncertainties are commonly observed in the process industry, and multistage stochastic programming (MSSP) is one approach for modeling such problems. However, MSSPs grow quickly and become computationally… read more here.
Keywords: knapsack problem; exogenous uncertainties; endogenous exogenous; generalized knapsack ... See more keywords
A New Framework to Primal Bounding Multistage Stochastic Programs Under Endogenous and Exogenous Uncertainties
Sign Up to like & getrecommendations! Published in 2019 at "Chemical engineering transactions"
DOI: 10.3303/cet1974106
Abstract: Optimization problems with both decision-dependent (endogenous) and decision-independent (exogenous) uncertainties are typical in the chemical process industry, especially in planning and scheduling. Stochastic programming is a framework for modelling optimization problems that involve uncertainty. Multistage… read more here.
Keywords: primal bounding; multistage stochastic; exogenous uncertainties; endogenous exogenous ... See more keywords