Study on Multi-Objective Fuzzy Optimization Algorithm for Chemical Process

L Sun, X Fan, P Yao

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Chemical process optimization is a multi-objective problem. Fuzzy optimization algorithm with the concept of relative membership degree is used to set optimization model. Genetic algorithms is applied as the solution approach. In this paper, the treatment of process condensate in synthesis ammonia plant is taken as example to illustrate the optimization procedure, and the satisfactory result demonstrates effectiveness of the suggested method.
Original languageEnglish
Title of host publicationProcess Systems Engineering
Subtitle of host publication8th International Symposium on Process Systems Engineering
EditorsBingzhen Chen, Art Westerberg
PublisherElsevier Health Sciences
Pages1370-1375
Volume15
ISBN (Print)044451404X
Publication statusPublished - 2003
Externally publishedYes

Publication series

NameComputer Aided Chemical Engineering
PublisherScienceDirect
ISSN (Electronic)1570-7946

Keywords

  • fuzzy optimization algorithm
  • multi-objective
  • genetic algorithms

Cite this

Sun, L., Fan, X., & Yao, P. (2003). Study on Multi-Objective Fuzzy Optimization Algorithm for Chemical Process. In B. Chen, & A. Westerberg (Eds.), Process Systems Engineering : 8th International Symposium on Process Systems Engineering (Vol. 15, pp. 1370-1375). (Computer Aided Chemical Engineering). Elsevier Health Sciences.
Sun, L ; Fan, X ; Yao, P. / Study on Multi-Objective Fuzzy Optimization Algorithm for Chemical Process. Process Systems Engineering : 8th International Symposium on Process Systems Engineering. editor / Bingzhen Chen ; Art Westerberg. Vol. 15 Elsevier Health Sciences, 2003. pp. 1370-1375 (Computer Aided Chemical Engineering).
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Sun, L, Fan, X & Yao, P 2003, Study on Multi-Objective Fuzzy Optimization Algorithm for Chemical Process. in B Chen & A Westerberg (eds), Process Systems Engineering : 8th International Symposium on Process Systems Engineering. vol. 15, Computer Aided Chemical Engineering, Elsevier Health Sciences, pp. 1370-1375.

Study on Multi-Objective Fuzzy Optimization Algorithm for Chemical Process. / Sun, L; Fan, X; Yao, P.

Process Systems Engineering : 8th International Symposium on Process Systems Engineering. ed. / Bingzhen Chen; Art Westerberg. Vol. 15 Elsevier Health Sciences, 2003. p. 1370-1375 (Computer Aided Chemical Engineering).

Research output: Chapter in Book/Report/Conference proceedingChapter

TY - CHAP

T1 - Study on Multi-Objective Fuzzy Optimization Algorithm for Chemical Process

AU - Sun, L

AU - Fan, X

AU - Yao, P

PY - 2003

Y1 - 2003

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AB - Chemical process optimization is a multi-objective problem. Fuzzy optimization algorithm with the concept of relative membership degree is used to set optimization model. Genetic algorithms is applied as the solution approach. In this paper, the treatment of process condensate in synthesis ammonia plant is taken as example to illustrate the optimization procedure, and the satisfactory result demonstrates effectiveness of the suggested method.

KW - fuzzy optimization algorithm

KW - multi-objective

KW - genetic algorithms

M3 - Chapter

SN - 044451404X

VL - 15

T3 - Computer Aided Chemical Engineering

SP - 1370

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BT - Process Systems Engineering

A2 - Chen, Bingzhen

A2 - Westerberg, Art

PB - Elsevier Health Sciences

ER -

Sun L, Fan X, Yao P. Study on Multi-Objective Fuzzy Optimization Algorithm for Chemical Process. In Chen B, Westerberg A, editors, Process Systems Engineering : 8th International Symposium on Process Systems Engineering. Vol. 15. Elsevier Health Sciences. 2003. p. 1370-1375. (Computer Aided Chemical Engineering).