应用于换热网络优化的RWCE算法接受差解策略分析与改进  

An Improved Accepting Imperfect Network Strategy for RWCE Algorithm in Heat Exchanger Network Synthesis

作　　者：于盛男 崔国民[1] 肖媛[1] 周剑卫 

机构地区：[1]上海理工大学新能源科学与工程研究所,上海200093 [2]哈尔滨哈锅锅炉工程技术有限公司,哈尔滨150060

出　　处：《计算物理》2017年第4期445-452,共8页Chinese Journal of Computational Physics

基　　金：国家自然科学基金(51176125);沪江基金研究基地专项(D14001)资助项目

摘　　要：以一定的概率接受差解是强制进化随机游走算法(RWCE)换热网络结构进化、跳出局部最优的关键.首先分析接受差解策略对算法的优化作用,通过设置不同的接受差解概率,对比RWCE算法优化换热网络的结构进化过程,基于分析结论,提出以换热器数目为导向的接受差解概率控制策略,提升算法的计算效率和结构进化能力.通过算例验证,表明引入该策略的RWCE算法具有更强的全局搜索能力,优化质量得到有效提升.Due to non-convex and non-continuous complexity of MINLP problems, heuristic methods are subject to numerous local optima. A novel random walking algorithm with compulsive evolution （RWCE） is an efficient global optimization method for HENS, where probability 8 of accepting imperfect network is able to keep population diversity and jump out of local optima effectively during evolution process. In this paper, strong ability of parameter 6 to detect promising structure is proved. Structure of evolution process is compared and analyzed under different parameters. Furthermore, a strategy for accepting imperfect network oriented with number of heat exchangers is proposed to improve computational time and evolution ability of optimization. The strategy was applied to several cases taken from literature. It shows better performance of global optimization.

关 键 词：换热网络优化 强制进化随机游走算法 结构进化 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]