高校化学工程学报2017，Vol.31Issue(1)：170-178,9.DOI:10.3969/j.issn.1003-9015.2017.01.024
改进萤火虫算法应用于换热网络最优化
Optimization of Heat Exchanger Network with Improved Firefly Algorithm
摘要
Abstract
Heat exchanger network synthesis (HENS) is one of the most-studied problems in process synthesis. In this paper, an improved Firefly Algorithm (FA) was proposed for the optimization of heat exchanger network to significantly enhance performance and computational efficiency of mixed-integer nonlinear programming (MINLP). Continuous processing was applied to integer variables that represent with/without heat exchanger units to simplify the studied model, and to better use the global search ability of FA. An adaptive strategy of light intensity absorption coefficient and a stochastic disturbance strategy of the optimal individual were then presented to guarantee convergence precision and enhance global search capability of the algorithm. Finally, the proposed method was applied to two typical cases from literature to demonstrate the efficiency of the improvement strategy.关键词
萤火虫算法(FA)/换热网络/最优化/系统工程Key words
firefly algorithm (FA)/heat exchanger network/optimization/systems engineering分类
能源科技引用本文复制引用
陈家星,崔国民,朱玉双,于盛男..改进萤火虫算法应用于换热网络最优化[J].高校化学工程学报,2017,31(1):170-178,9.基金项目
上海市科委部分地方院校能力建设计划(16060502600) （16060502600）
国家自然科学基金(51176125) （51176125）
沪江基金研究基地专项(D14001). （D14001）
