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- W3123924607 abstract "The inevitable presence of uncertain parameters in critical applications of process optimization can lead to undesirable or infeasible solutions. For this reason, optimization under parametric uncertainty was, and continues to be a core area of research within Process Systems Engineering. Multiparametric programming is a strategy that offers a holistic perspective for the solution of this class of mathematical programming problems. Specifically, multiparametric programming theory enables the derivation of the optimal solution as a function of the uncertain parameters, explicitly revealing the impact of uncertainty in optimal decision-making. By taking advantage of such a relationship, new breakthroughs in the solution of challenging formulations with uncertainty have been created. Apart from that, researchers have utilized multiparametric programming techniques to solve deterministic classes of problems, by treating specific elements of the optimization program as uncertain parameters. In the past years, there has been a significant number of publications in the literature involving multiparametric programming. The present review article covers recent theoretical, algorithmic, and application developments in multiparametric programming. Additionally, several areas for potential contributions in this field are discussed, highlighting the benefits of multiparametric programming in future research efforts." @default.
- W3123924607 created "2021-02-01" @default.
- W3123924607 creator A5005967060 @default.
- W3123924607 creator A5015779122 @default.
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- W3123924607 creator A5045336115 @default.
- W3123924607 creator A5048803725 @default.
- W3123924607 creator A5062147977 @default.
- W3123924607 date "2021-01-21" @default.
- W3123924607 modified "2023-10-16" @default.
- W3123924607 title "Multiparametric Programming in Process Systems Engineering: Recent Developments and Path Forward" @default.
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