化工进展2016，Vol.35Issue(10)：3092-3100,9.DOI:10.16085/j.issn.1000-6613.2016.10.012
一种新型Powell粒子群算法同步综合换热网络
A novel Powell particle swarm optimization algorithm for simultaneous synthesis of heat exchanger networks
摘要
Abstract
Due to the defect ofsimultaneous methods for heat exchanger networks synthesis,a novel Powell particle swarm optimization(PPSO) algorithm was proposed,which has both high precision of the deterministic methods and high efficiency of the stochastic algorithms. For overcoming disadvantages of stochastic algorithms,the cloud memory and the opposite strategy of individualswere proposed,which can avoid premature convergence and expand the search space. In addition,two optimizing strategies of integer variables were combined with PPSO algorithm in order to simultaneously optimize continuous and integer variables. The presented approach was tested on two typical benchmark problems. The obtained solutions are better than that published in the literature. Results showed that the presented algorithm can find better designs,which is conductive to cost saving in industrial production.关键词
换热网络综合/整型变量优化/Powell法/群体智能Key words
heat exchanger networks synthesis/integer variables/Powell method/swarm intelligence分类
能源科技引用本文复制引用
张春伟,崔国民..一种新型Powell粒子群算法同步综合换热网络[J].化工进展,2016,35(10):3092-3100,9.基金项目
国家自然科学基金项目（51176125）。 （）
