采用动态更新策略的微分进化算法优化换热网络  

Optimization of the Heat Exchanger Network by Differential Evolution Algorithm Based on Dynamic Update Strategy

作　　者：陈上[1] 崔国民[1] 彭富裕[1] 段欢欢[1] 

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

出　　处：《热能动力工程》2015年第4期509-514,646,共6页Journal of Engineering for Thermal Energy and Power

基　　金：国家自然科学基金资助项目(51176125);上海市研究生创新基金项目(JWCXSL1301)

摘　　要：针对优化换热网络存在的严重非凸非线性问题,提出以动态更新策略改进的微分进化算法优化换热网络,通过对所建种群中的个体进行动态更新,而不是在种群所有个体更新完后再替代旧的种群,在保持原始种群规模不变的情况下,更充分地利用种群个体的多样性并且使算法具有更好地鲁棒性,以获得更强的全局搜索能力。辅以算例加以比较验证,证明改进后的算法在应用于换热网络优化时可以有效跳出优化过程中的局部极值陷阱,获得比以往更优的换热网络设计结果。Aimed at the problem of serious non-convex nonlinear existing in the optimization of heat exchanger network,the dynamic updating strategy is put forward to improve the differential evolution algorithm for the optimization of heat exchanger network. By dynamic updating the individual in population instead of replacing the old population after the renewal of all individuals in population,in the case of keeping the original population unchanged,the diversity of the population individuals is fully used and the better robustness of algorithm is obtained to improve the global searching ability. With cases of comparison,it is proved that when applied to the optimization of heat exchanger network,the improved algorithm can effectively jump out of the local minimum trap in the optimization process and get better design results of heat exchanger network than ever.

关 键 词：换热网络优化 全局优化 改进微分进化算法 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]