Mixed-Integer Nonlinear Optimization in Process Synthesis

Mixed-Integer Nonlinear Optimization in Process Synthesis (1998)

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by C. S. Adjiman , C. A. Schweiger , C. A. Floudas

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Datum	Value	Source
TITLE	Mixed-Integer Nonlinear Optimization in Process Synthesis	user correction - Legacy Corrections
AUTHOR NAME	C. S. Adjiman	SVM HeaderParse 0.2
AUTHOR AFFIL	Department of Chemical Engineering; Princeton University, Princeton	SVM HeaderParse 0.2
AUTHOR ADDR	NJ 08544-5263	SVM HeaderParse 0.2
AUTHOR NAME	C. A. Schweiger	SVM HeaderParse 0.2
AUTHOR AFFIL	Department of Chemical Engineering; Princeton University, Princeton	SVM HeaderParse 0.2
AUTHOR ADDR	NJ 08544-5263	SVM HeaderParse 0.2
AUTHOR NAME	C. A. Floudas	SVM HeaderParse 0.2
AUTHOR AFFIL	Department of Chemical Engineering; Princeton University, Princeton	SVM HeaderParse 0.2
AUTHOR ADDR	NJ 08544-5263	SVM HeaderParse 0.2
ABSTRACT	The use of networks allows the representation of a variety of important engineering problems. The treatment of a particular class of network applications, the process synthesis problem, is exposed in this paper. Process Synthesis seeks to develop systematically process flowsheets that convert raw materials into desired products. In recent years, the optimization approach to process synthesis has shown promise in tackling this challenge. It requires the development of a network of interconnected units, the process superstructure, that represents the alternative process flowsheets. The mathematical modeling of the superstructure has a mixed set of binary and continuous variables and results in a mixed-integer optimization model. Due to the nonlinearity of chemical models, these problems are generally classified as Mixed-Integer Nonlinear Programming (MINLP) problems. A number of local optimization algorithms, developed for the solution of this class of problems, are presented in this pap...	user correction - Legacy Corrections
YEAR	1998	user correction - Legacy Corrections
CITATIONS	50 found	ParsCit 1.0