化工进展Issue(10)：2288-2291,2342,5.DOI:10.3969/j.issn.1000-6613.2013.10.005
微分进化算法优化换热网络的性能
Performance analysis of heat exchanger networks synthesis by differential evolution algorithm
方大俊 1崔国民 1万义群 1许海珠1
作者信息
- 1. 上海理工大学新能源研究所，上海 200093
- 折叠
摘要
Abstract
This research analyzed relationship between heat exchanger networks areas and total cost, and the features of non-linear and non-convex in the heat exchanger networks. These characteristics resulted in many local solutions in optimization process. The conventional optimization methods based on gradient information could be affected greatly by the initial point,and easily traped into local solution which interrupts the optimization process in the heat exchanger network. This work developed differential evolution algorithm for optimization of heat exchanger networks synthesis based on the Grossman stage-wise superstructure,aiming at solving the optimization obstacle in the heat exchanger network. Compared with the results derived from Newton method,this method showed robust in optimizing heat exchanger networks problems,and demonstrated minimum influence by the initial points. Consequently,this method indicated good stability and effectiveness,it could help in reducing total cost in productive process.关键词
换热网络/局部最优解/微分进化算法/收敛稳定性Key words
heat exchanger networks/initial point/differential evolution/convergence stability分类
能源科技引用本文复制引用
方大俊,崔国民,万义群,许海珠..微分进化算法优化换热网络的性能[J].化工进展,2013,(10):2288-2291,2342,5.
