Multiobjective differential evolution (MODE) for optimization of adiabatic styrene reactor

被引：107

作者：

Babu, BV ^{[1
]}

Chakole, PG ^{[1
]}

Mubeen, JHS ^{[1
]}

机构：

[1] Birla Inst Technol & Sci, Dept Chem Engn, Pilani, Rajasthan, India

来源：

CHEMICAL ENGINEERING SCIENCE | 2005年 / 60卷 / 17期

关键词：

optimization; simulation; differential evolution; pareto optimal front; selectivity; modeling; MODE (multi-objective differential evolution);

D O I：

10.1016/j.ces.2005.02.073

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

In this paper, a novel algorithm is proposed for solving multiobjective optimization problems. The proposed algorithm, multiobjective differential evolution (MODE), is applied to optimize industrial adiabatic styrene reactor considering productivity, selectivity and yield as the main objectives. Five combinations of the objectives are considered. Pareto set (a set of equally good solutions) obtained for all the cases is compared with results reported using non-dominated sorting genetic algorithm (NSGA). The results show that all objectives besides profit can be improved compared to those reported using NSGA and current operating conditions. The Pareto optimal front provides wide-ranging optimal operating conditions and an appropriate operating point can be selected based on the requirements of the user. (c) 2005 Elsevier Ltd. All rights reserved.

引用

页码：4822 / 4837

页数：16

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