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• W1977711014 abstract "Process synthesis problems involving uncertainty can be mathematically represented as multiparametric mixed integer nonlinear programming (mp-MINLP) models. In this paper, we present an outer-approximation algorithm for the solution of such mp-MINLPs, described by convex process models, linear in the vectors of binary variables and uncertain parameters. The algorithm follows decomposition principles, i.e., constructing a converging sequence of valid upper and lower bounds through the solution of parametric primal and master subproblems. The solution is characterized in different sub-domains of the uncertain parameter space by (i) linear parametric profiles, and (ii) the corresponding integer solutions." @default.
• W1977711014 created "2016-06-24" @default.
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• W1977711014 date "1998-03-01" @default.
• W1977711014 modified "2023-09-27" @default.
• W1977711014 title "An outer-approximation algorithm for the solution of multiparametric MINLP problems" @default.
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• W1977711014 doi "https://doi.org/10.1016/s0098-1354(98)00189-6" @default.
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