摘要
随着对能源利用率要求的不断提高,换热网络的优化已引起了人们的高度重视。本文综述了国内外应用随机搜索算法处理换热网络优化问题的最新研究进展,分析了当前应用较多的4种随机搜索算法:遗传算法、模拟退火算法、粒子群算法、禁忌搜索算法。阐述了这些算法各自的优势和尚待改进的问题,指出将不同算法结合起来解决大规模的换热网络优化问题是今后的研究方向。
With the increasing requirement on energy utilization,synthesis and optimization of heat exchanger network have been obtained great interests.The recent developments of the application of random search algorithms in heat exchanger network optimization are reviewed in this paper.Four main stochastic searching techniques including genetic algorithm,simulated annealing algorithm,particle swarm algorithm,and tabu search algorithm are introduced,and the strength and weakness of these algorithms are further discussed,respectively.And a promising research direction to solve a large scale heat-exchanger network optimization problem by using a hybrid algorithm is presented.
出处
《化工进展》
EI
CAS
CSCD
北大核心
2012年第3期495-501,共7页
Chemical Industry and Engineering Progress
基金
国家自然科学基金(21176049)
福建省自然科学基金(2011J01038)项目
关键词
随机搜索算法
换热网络
优化
stochastic searching techniques
heat exchanger network
optimization
