Design of multipurpose batch chemical plants using a genetic algorithm

被引：8

作者：

Bernal-Haro, L ^{[1
]}

Azzaro-Pantel, C ^{[1
]}

Domenech, S ^{[1
]}

Pibouleau, L ^{[1
]}

机构：

[1] UPS, INPT, INSIGC, Lab Genie Chim,CNRS,UMR 5503, F-31078 Toulouse 04, France

来源：

COMPUTERS & CHEMICAL ENGINEERING | 1998年 / 22卷

关键词：

jobshop plant; design; optimisation; Genetic Algorithms; scheduling;

D O I：

10.1016/S0098-1354(98)00146-X

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper, we introduce the development and implementation of a Genetic Algorithm for the preliminary design of a multipurpose chemical batch plant. A two-stage approach combining a Discrete Event Simulation Model (D.E.S. model) and a Genetic Algorithm (G.A) for optimal design is proposed. The goal is to minimise equipment investment cost for a fixed product slate and production level. (C) 1998 Elsevier Science Ltd. All rights reserved.

引用

页码：S777 / S780

页数：4

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