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A new retrofit approach for heat exchanger networks——improved genetic algorithm
引用本文:王克峰,姚平经,袁一,于福东,施光燕.A new retrofit approach for heat exchanger networks——improved genetic algorithm[J].中国化学工程学报,1997,5(4):347-358.
作者姓名:王克峰  姚平经  袁一  于福东  施光燕
作者单位:School of Chemical Engineering,Dalian University of Technology,School of Chemical Engineering,Dalian University of Technology,School of Chemical Engineering,Dalian University of Technology,Applied Mathematics Department Dalian University of Technology,Applied Mathematics Department Dalian University of Technology Dalian 116012,China,Dalian 116012,China,Dalian 116012,China,Dalian 116023,China,Dalian 116023,China
摘    要:Inspired by genetic algorithm(GA),an improved genetic algorithm(IGA)is proposed.It inherits the main idea of evolutionary computing,avoids the process of coding and decoding inorder to probe the solution in the state space directly and has distributed computing version.Soit is faster and gives higher precision.Aided by IGA,a new optimization strategy for theflexibility analysis and retrofitting of existing heat exchanger networks is presented.A case studyshows that IGA has the ability of finding the global optimum with higher speed and better preci-sion.

关 键 词:heat  exchanger  network  flexibility  analysis  and  retrofit  improved  genetic  algorithm
收稿时间:1996-9-2
修稿时间: 
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