A Hybrid Parametric/Stochastic Programming Approach for Mixed-Integer Linear Problems under Uncertainty
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In this paper, a novel hybrid parametric/stochastic approach for the solution of stochastic mixed-integer problems is introduced. The approach, based on a two-stage stochastic programming framework recently proposed by the authors, effectively avoids the repetitive solution of the second-stage subproblems by solving instead multiparametric programs, resulting in a much more efficient evaluation of the expected value. The approach is detailed with two example problems in which computational issues are also discussed. © 1997 American Chemical Society.
author list (cited authors)
Acevedo, J., & Pistikopoulos, E. N.