@inbook{91b1d82298f848579884cfc98d39cc2e,
title = "Study on Multi-Objective Fuzzy Optimization Algorithm for Chemical Process",
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.",
keywords = "fuzzy optimization algorithm, multi-objective, genetic algorithms",
author = "L Sun and X Fan and P Yao",
year = "2003",
language = "English",
isbn = "044451404X",
volume = "15",
series = "Computer Aided Chemical Engineering",
publisher = "Elsevier Health Sciences",
pages = "1370--1375",
editor = "Bingzhen Chen and Art Westerberg",
booktitle = "Process Systems Engineering",
address = "United Kingdom",
}