化工进展2018，Vol.37Issue(7)：2500-2509,10.DOI:10.16085/j.issn.1000-6613.2017-1885
带惩罚的逆梯度进化算法应用于换热网络
Heat exchange network optimization by inverse gradient evolution strategy with penalty
摘要
Abstract
The local neighborhood search methods depend greatly on the initial solution position and are usually subjected to the local optimal solutions. Therefore, an inverse gradient evolution algorithm with penalty is proposed in this paper. This algorithm employs a penalty positively related to the dwell time at the local optimal position to force the individual to move along the inverse gradient direction and then far away from the current local optimum. Meanwhile, to prevent 'rebound' phenomenon, tabooed neighborhood is introduced into the algorithm to prohibit the individual from moving back to its original position. As the filled functions are established by penalty in real-time, the mechanism of escaping the local optima in the proposed method is relatively deterministic rather than random in the heuristic methods, which improves the search efficiency for the individual. Finally, applying the algorithm to heat exchanger network synthesis problems, its effectiveness is verified by the typical 10SP1 and 10SP2 case studies. The obtained solutions are better than those in the literature, demonstrating the relatively strong ability of the proposed method to jump out of local optima.关键词
局部邻域搜索/逆梯度/局部极值点/禁忌邻域/换热网络Key words
local neighborhood search/inverse gradient/local optima/tabooed neighborhood/heat exchanger network分类
能源科技引用本文复制引用
邓炜栋,崔国民,陈家星,朱玉双..带惩罚的逆梯度进化算法应用于换热网络[J].化工进展,2018,37(7):2500-2509,10.基金项目
上海市科委部分地方院校能力建设计划(16060502600)、国家自然科学基金(51176125)及沪江基金研究基地专项(D14001) 项目. （16060502600）
