文献类型：期刊文献

中文题名：使用参数自适应差分进化算法合成和优化实用系统（英文）

英文题名：Synthesis and optimization of utility system using parameter adaptive differential evolution algorithm

作者：李泽秋[1];杜文莉[1];赵亮[1];钱锋[1]

机构：[1]E China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China

年份：2015

卷号：23

期号：8

起止页码：1350

中文期刊名：Chinese Journal of Chemical Engineering

外文期刊名：中国化学工程学报（英文版）

收录：CSTPCD;;EI(收录号：20152801014733);Scopus;WOS:【SCI-EXPANDED(收录号:WOS:000361836600013)】；CSCD:【CSCD2015_2016】；

基金：Supported by the Major State Basic Research Development Program of China (2012CB720500), the National Natural Science Foundation of China (U1162202, 61222303), the National Science Foundation of Shanghai (14ZR1410000),Shanghai R&D Platform Construction Program (13DZ2295300), Shanghai Rising-Star Program (13QH1401200) and Shanghai Leading Academic Discipline Project (B504).

语种：中文

中文关键词：差分进化算法;参数自适应;实用系统;运行优化;合成;数学模型;最优配置;计算效率

外文关键词：Utility system synthesis MINLP Operation optimization

摘要：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 con figuration and operation conditions of the system. The evolution algorithm and models are interactively used in the calculation, which ensures the feasibility of con figuration and improves computational ef ficiency. The capability and effectiveness of the proposed approach are demonstrated by three typical case studies.
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 con figuration and operation conditions of the system. The evolution algorithm and models are interactively used in the calculation, which ensures the feasibility of con figuration and improves computational ef ficiency. The capability and effectiveness of the proposed approach are demonstrated by three typical case studies.