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- W2963795736 abstract "Abstract The pooling problem is a widely studied case study in global optimization. To date, it has largely been treated deterministically, neglecting the influence of parametric uncertainty. This work introduces a robust optimization formulation of the standard pooling problem with uncertain component concentrations. The quality constraints in which these uncertain parameters occur are nonlinear and non-convex in the decision variables — something which has rarely been explored in the context of robust optimization. The resulting reformulation is a global optimization problem with the complexity determined by the selected uncertainty set. We compare the computational performance of three commonly used uncertainty sets on 14 pooling problem instances and demonstrate how accounting for uncertainty changes the optimal solution." @default.
- W2963795736 created "2019-07-30" @default.
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- W2963795736 date "2019-01-01" @default.
- W2963795736 modified "2023-09-26" @default.
- W2963795736 title "The robust pooling problem" @default.
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- W2963795736 doi "https://doi.org/10.1016/b978-0-12-818634-3.50152-1" @default.
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