Study on Multi-Objective Fuzzy Optimization Algorithm for Chemical Process

L Sun, X Fan, P Yao

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)


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
ISBN (Print)044451404X
Publication statusPublished - 2003
Externally publishedYes

Publication series

NameComputer Aided Chemical Engineering
ISSN (Electronic)1570-7946


  • fuzzy optimization algorithm
  • multi-objective
  • genetic algorithms


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