大连理工大学学报2004，Vol.44Issue(2)：218-223,6.
用改进的遗传算法进行多流股换热器网络综合
Multi-stream heat exchanger networks synthesis with improved genetic algorithm
摘要
Abstract
The multi-stream heat exchanger networks synthesis (HENS) problem can be formulated as a mixed integer nonlinear programming (MINLP) model according to Yee, et al.. Its nonconvexity nature leads to the existence of more than one optimum and the computation difficulty for traditional algorithms to find the global optimum. Different from the assumption of isothermal mixing of stream splits and thus linearity constraints of Yee, et al., non-isothermal mixing is supported in this paper. As a consequence, nonlinear constraints are approached and nonconvexity of the objective function is also added. Compared with other deterministic algorithms, genetic algorithms (GAs) can provide a promising approach to solution of this problem. A novel method for the synthesis of multi-stream heat exchanger networks based on GA using the stage-wise superstructure is presented. The performance of the proposed GA approach is demonstrated by two examples and better solutions obtained are compared with literatures.关键词
多流股换热器网络综合/非等温混合/混合整数非线性规划模型/遗传算法Key words
multi-stream heat exchanger networks synthesis/non-isothermal mixing/mixed integer nonlinear programming model/genetic algorithms分类
化学化工引用本文复制引用
魏关锋,孙亚琴,贺高红,姚平经,罗行,罗采尔·威尔佛莱德..用改进的遗传算法进行多流股换热器网络综合[J].大连理工大学学报,2004,44(2):218-223,6.基金项目
DFG项目(No. RO294/9). （No. RO294/9）
