Date of Original Version

2-2014

Type

Article

Rights Management

This is the accepted version of the article which has been published in final form at http://dx.doi.org/10.1002/cite.201400037

Abstract or Description

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.

DOI

10.1002/cite.201400037

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Published In

Chemie Ingenieur Technik, 86, 7, 991-1012.