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

使用参数自适应差分进化算法合成和优化实用系统（英文）

作　　者：李泽秋 杜文莉 赵亮 钱锋 

机构地区：[1]Key Laboratory of Advanced Control and Optimization for Chemical Process,Ministry of Education,East China University of Science and Technology

出　　处：《Chinese Journal of Chemical Engineering》2015年第8期1350-1356,共7页中国化学工程学报（英文版）

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);Shanghai Leading Academic Discipline Project(B504)

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.

关 键 词：Utility system synthesis MINLP Operation optimization 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]