Parametric Solution Algorithms for Large-Scale Mixed-Integer Fractional Programming Problems and Applications in Process Systems Engineering

Process Systems ◽

Solution Algorithms

Globally convergent exact and inexact parametric algorithms for solving large-scale mixed-integer fractional programs and applications in process systems engineering

10.1016/j.compchemeng.2013.10.017 ◽

2014 ◽

Vol 61 ◽

pp. 90-101 ◽

Cited By ~ 50

Author(s):

Zhixia Zhong ◽

Fengqi You

Keyword(s):

Systems Engineering ◽

Large Scale ◽

Mixed Integer ◽

Process Systems ◽

Globally Convergent ◽

Fractional Programs ◽

Parametric Algorithms

Mixed-integer nonlinear programming techniques for process systems engineering

10.1016/0098-1354(95)87036-9 ◽

1995 ◽

Vol 19 ◽

pp. 189-204 ◽

Cited By ~ 42

Author(s):

Ignacio E. Grossmann ◽

Zdravko Kravanja

Keyword(s):

Nonlinear Programming ◽

Systems Engineering ◽

Mixed Integer Nonlinear Programming ◽

Mixed Integer ◽

Process Systems ◽

Integer Nonlinear Programming ◽

Programming Techniques

Mixed-integer nonlinear programming techniques for process systems engineering

10.1016/0098-1354(95)00072-a ◽

1995 ◽

Vol 19 (1) ◽

pp. S189-S204 ◽

Cited By ~ 36

Author(s):

I Grossmann

Keyword(s):

Nonlinear Programming ◽

Systems Engineering ◽

Mixed Integer Nonlinear Programming ◽

Mixed Integer ◽

Process Systems ◽

Integer Nonlinear Programming ◽

Programming Techniques

Process Systems Engineering. Parametric Problems of PROLP. Application to solution of mixed-integer linear programs.

KAGAKU KOGAKU RONBUNSHU ◽

10.1252/kakoronbunshu.22.1046 ◽

1996 ◽

Vol 22 (5) ◽

pp. 1046-1054

Author(s):

Yoshiaki Shimizu

Keyword(s):

Systems Engineering ◽

Mixed Integer ◽

Linear Programs ◽

Process Systems ◽

Integer Linear Programs ◽

Parametric Problems

Chapter 24: Review of Mixed-Integer Nonlinear Optimization and Generalized Disjunctive Programming Applications in Process Systems Engineering

Advances and Trends in Optimization with Engineering Applications ◽

10.1137/1.9781611974683.ch24 ◽

2017 ◽

pp. 315-329 ◽

Cited By ~ 2

Author(s):

Francisco Trespalacios ◽

Ignacio E. Grossmann

Keyword(s):

Nonlinear Optimization ◽

Systems Engineering ◽

Disjunctive Programming ◽

Mixed Integer ◽

Mixed Integer Nonlinear Optimization

Process Systems ◽

Generalized Disjunctive Programming ◽

Algorithm architectures to support large-scale process systems engineering applications involving combinatorics, uncertainty, and risk management

10.1016/s0098-1354(01)00744-x ◽

2002 ◽

Vol 26 (2) ◽

pp. 239-267 ◽

Cited By ~ 16

Author(s):

Joseph F. Pekny

Keyword(s):

Risk Management ◽

Systems Engineering ◽

Large Scale ◽

Engineering Applications ◽

Process Systems

Perspectives for process systems engineering—Personal views from academia and industry

10.1016/j.compchemeng.2008.09.002 ◽

2009 ◽

Vol 33 (3) ◽

pp. 536-550 ◽

Cited By ~ 125

Author(s):

Karsten-Ulrich Klatt ◽

Wolfgang Marquardt

Keyword(s):

Systems Engineering ◽

Process Systems

Enterprise-wide optimization: A new frontier in process systems engineering

AIChE Journal ◽

10.1002/aic.10617 ◽

2005 ◽

Vol 51 (7) ◽

pp. 1846-1857 ◽

Cited By ~ 339

Author(s):

Ignacio Grossmann

Keyword(s):

Systems Engineering ◽

Process Systems ◽

New Frontier

Process Systems Engineering. A Method of Modeling for Nonlinear Process Dynamics by Chaotic Time-Series Analysis.

KAGAKU KOGAKU RONBUNSHU ◽

10.1252/kakoronbunshu.22.991 ◽

1996 ◽

Vol 22 (5) ◽

pp. 991-995

Author(s):

Yoshitomo Hanakuma ◽

Kazutoyo Nakaya ◽

Takeshi Takeuchi ◽

Takashi Sasaki ◽

Eiji Nakanishi

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Systems Engineering ◽

Nonlinear Process ◽

Chaotic Time Series ◽

Process Systems ◽

Process Dynamics ◽

Series Analysis ◽

Chaotic Time Series Analysis

Process Systems Engineering: Halfway through the first century

Chemical Engineering Science ◽

10.1016/0009-2509(96)81832-x ◽

1995 ◽

Vol 50 (24) ◽

pp. 4045-4059 ◽

Cited By ~ 7

Author(s):

Jack Ponton

Keyword(s):

Systems Engineering ◽

First Century ◽

Process Systems