化工进展Issue(2)：352-357,6.DOI:10.16085/j.issn.1000-6613.2016.02.002
换热网络多目标综合优化算法研究进展
Research progress on optimization algorithms in multi-objective synthesis of heat exchanger networks
摘要
Abstract
For the sustainable development in resources and energy,the designers should not only consider economy,but also flexibility,reliability,operability and environmental impact in the synthesis of heat exchanger networks(HENs). Multi-objective synthesis of HENs has got preliminary progress and drawn great attention. This paper illustrates the necessity of multi-objective synthesis of HENs and summarizes the research progress on multi-objective synthesis of HENs. The summary and comparison of the algorithms for solving multi-objective optimization problems were mainly focused. Application in multi-objective synthesis of HENs was reviewed. Research shows that traditional multi-objective algorithms are less suitable for solving the problems of complex superstructure. However, multi-objective evolutionary algorithms can solve multi-objective problems better in the synthesis of HENs. Non-dominated sorting genetic algorithm(NSGA-Ⅱ) is one of the most popular and effective applied algorithms. It was proposed that based on superstructure,establishing multi-objective models which involve economy,flexibility,reliability,operability and environmental impact and then present the decision makers with Pareto optimum solutions is the future of HEN synthesis.关键词
系统工程/优化设计/换热网络/多目标/算法/NSGA-ⅡKey words
systems engineering/optimal design/HENs/multi-objective/algorithms/NSGA-Ⅱ分类
化学化工引用本文复制引用
吕俊锋,肖武,王开锋,李中华,贺高红..换热网络多目标综合优化算法研究进展[J].化工进展,2016,(2):352-357,6.基金项目
国家自然科学基金（21206014，21125628）、中央高校基本科研业务费专项基金（DUT14LAB14）及中国石油化工股份有限公司资助项目（X514001）。 （）
