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

换热网络优化是一个多维、非凸、非线性、不连续的复杂混合整数非线性规划问题,传统的优化方法很难寻找到全局最优解。针对该问题研究建立了换热网络分级超结构非等温混合模型,提出了一种双层同步优化算法。该算法外层使用Alopex Evaluation Algorithm(AEA)算法优化结构变量分流比,内层使用Particle Swarm Optimizer(PSO)算法优化换热量。还提出了一种改进的不可行解修复策略,改善了算法的搜索能力。三个案例研究用以说明算法可以稳定寻找到较好的优化结果。

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.