Synthesis and optimization of utility system using parameter adaptive differential evolution algorithm

Zeqiu Li; Wenli Du; Liang Zhao; Feng Qian

doi:10.1016/j.cjche.2015.01.013

Your Location：

Home >

Browse articles >

Synthesis and optimization of utility system using parameter adaptive differential evolution algorithm

过程系统工程与过程安全 | Updated：2026-01-06

- Synthesis and optimization of utility system using parameter adaptive differential evolution algorithm
- Chinese Journal of Chemical Engineering Vol. 23, Issue 8, Pages: 1350-1356(2015)
- Affiliations：
  
  Key Laboratory of Advanced Control and Optimization for Chemical Process, Ministry of Education, East China University of Science and Technology,Shanghai,China,200237
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2015.01.013
  CLC：
- Published：2015
- Accepted：
Scan QR Code
Zeqiu Li, Wenli Du, Liang Zhao, Feng Qian. Synthesis and optimization of utility system using parameter adaptive differential evolution algorithm[J]. Chin.J.Chem.Eng., 2015, 23(8): 1350-1356.
DOI：

Zeqiu Li, Wenli Du, Liang Zhao, Feng Qian. Synthesis and optimization of utility system using parameter adaptive differential evolution algorithm[J]. Chin.J.Chem.Eng., 2015, 23(8): 1350-1356. DOI： 10.1016/j.cjche.2015.01.013.

摘要

Abstract

Synthesis and optimization of utility system usually involve grassroots design

retrofitting and operation optimization

which should be considered in modeling process. This paper presents a general method for synthesis and optimization of a utility system. In this method

superstructure based mathematical model is established

in which different modeling methods are chosen based on the application. A binary code based parameter adaptive differential evolution algorithm is used to obtain the optimal configuration and operation conditions of the system. The evolution algorithm and models are interactively used in the calculation

which ensures the feasibility of configuration and improves computational efficiency. The capability and effectiveness of the proposed approach are demonstrated by three typical case studies.

关键词

Keywords

references

Views

136

Downloads

CSCD

Alert me when the article has been cited

Submit

Tools

Publicity Resources

Data-driven optimal operation of the industrial methanol to olefin process based on relevance vector machine

Optimal synthesis of multi-plant heat exchanger networks considering both direct and indirect methods

Multi-objective optimization of methane production system from biomass through anaerobic digestion

Process optimization of an industrial acetic acid dehydration progress via heterogeneous azeotropic distillation

A formulation methodology for multicomponent distillation sequences based on stochastic optimization

Related Author

Bingzhen Chen

Zhihong Yuan

Liang Wang

Zhiquan Wang

Xiao Feng

Yufei Wang

Chenglin Chang

Weijun Li

Related Institution

Department of Chemical Engineering, Tsinghua University

State Key Laboratory of Chemical Engineering, Department of Chemical Engineering, Tsinghua University

State Key Laboratory of Heavy Oil Processing, China University of Petroleum

School of Chemical Engineering, Xi'an Jiaotong University

2 Sino-Danish Center for Education and Research, University of Chinese Academy of Sciences

⁰