化工进展2017，Vol.36Issue(2)：426-434,9.DOI:10.16085/j.issn.1000-6613.2017.02.004
极大极小值交替优化算法实现换热网络全局热集成
Mini-max alternate optimization algorithm for global heat integration of heat exchanger networks
摘要
Abstract
Deterministic methods are easily trapped into local optimal when applied in global heat integration of heat exchanger network(HEN)resulting from the serious nonconvex and nonlinear characteristics of HEN problem. An auxiliary function was established on the basis of multiplier method to turn the primal constrained problem into an unconstrained one. Then,a mini-max alternate optimization algorithm based on Newton method was put forward to apply in the optimization of HEN, where the maximal and minimal optima were alternately solved to jump out of the current local optimum,continue to obtain the new local minimum value with the local optimization method,and realize the global heat integration of HEN. Moreover,a strategy to prevent the "rebound" phenomenon was proposed to avoid the repeated optimization in the certain region. Two HEN cases were used to verify the feasibility of the algorithm. The results compared with the literature data showed that mini-max alternate optimization algorithm is effective to improve the performance of deterministic method in the optimization of HEN and has strong global search ability.关键词
换热网络/全局热集成/局部极值/交替优化/确定性方法Key words
heat exchanger network/global heat integration/local extrema/alternate optimization/deterministic method分类
能源科技引用本文复制引用
包艳冰,崔国民,肖媛,陈家星..极大极小值交替优化算法实现换热网络全局热集成[J].化工进展,2017,36(2):426-434,9.基金项目
上海市科委部分地方院校能力建设计划（1606502600）、国家自然科学基金（51176125）及沪江基金研究基地专项（D14001）。 （）
