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Review of Mixed‐Integer Nonlinear and Generalized Disjunctive Programming Methods
This work presents a review of the main deterministic mixed‐integer nonlinear programming (MINLP) solution methods for problems with convex and nonconvex functions. An overview for deriving MINLP formulations through generalized disjunctive programming (GDP), which is an alternative higher‐level representation of MINLP problems, is also presented. A review of solution methods for GDP problems is provided. Some relevant applications of MINLP and GDP in process systems engineering are described in this work.
Review of Mixed‐Integer Nonlinear and Generalized Disjunctive Programming Methods
This work presents a review of the main deterministic mixed‐integer nonlinear programming (MINLP) solution methods for problems with convex and nonconvex functions. An overview for deriving MINLP formulations through generalized disjunctive programming (GDP), which is an alternative higher‐level representation of MINLP problems, is also presented. A review of solution methods for GDP problems is provided. Some relevant applications of MINLP and GDP in process systems engineering are described in this work.
Review of Mixed‐Integer Nonlinear and Generalized Disjunctive Programming Methods
Trespalacios, Francisco (author) / Grossmann, Ignacio E. (author)
Chemie Ingenieur Technik ; 86 ; 991-1012
2014-07-01
22 pages
Article (Journal)
Electronic Resource
English
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