高校化学工程学报2017，Vol.31Issue(6)：1395-1403,9.DOI:10.3969/j.issn.1003-9015.2017.06.019
基于AEA和PSO的双层同步换热网络综合方法研究
A Bi-Level Algorithm Based on AEA and PSO Algorithm for Simultaneous Synthesis of Heat Exchanger Network
摘要
Abstract
Heat exchanger network synthesis is a complex mixed integer nonlinear problem, which is difficult to solve in finite time via traditional optimal methods because of its multidimensional, nonconvex, nonlinear and dis-continuous features. In this study, a bi-level simultaneous synthesis algorithm based on a non-isothermal mixing stage-wise superstructure was proposed. Alopex Evaluation Algorithm (AEA) was applied in outer loop to optimize the structural variable, and Particle Swarm Optimizer (PSO) was used in inner loop to optimize the heat exchanging load. An improved repair strategy for infeasible solutions was also proposed to improve the search ability of the improved algorithm. Three case studies were solved to prove that the algorithm can stably find a better optimization results.关键词
换热网络/分级超结构/智能算法/同步优化Key words
heat exchanger network/stage-wise superstructure/intelligent algorithm/simultaneous synthesis分类
化学化工引用本文复制引用
刘凯,杜红彬,金宇辉,蒋达,李绍军..基于AEA和PSO的双层同步换热网络综合方法研究[J].高校化学工程学报,2017,31(6):1395-1403,9.基金项目
国家自然科学基金(21406064,21676086) （21406064,21676086）
上海市自然科学基金(14ZR1410500). （14ZR1410500）
