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2013 (Vol. 6, Issue: 18)
Article Information:

Application of Genetic Algorithm on Heat Exchanger Network Optimization

Shahram Ghanizadeh and Mojtaba Sedigh Fazli
Corresponding Author:  Shahram Ghanizadeh 

Key words:  Genetic algorithm, heat exchanger network, mixed integer and nonlinear programming problem, optimization, , ,
Vol. 6 , (18): 3378-3383
Submitted Accepted Published
January 14, 2013 March 07, 2013 October 10, 2013
Abstract:

Synthesis of Heat Exchanger Networks (HENs) is inherently a Mixed Integer and Nonlinear Programming (MINLP) problem. Solving such problems leads to difficulties in optimization of continuous and binary variables. This study presents a new efficient and robust method in which structural parameters are optimized by G.A. and continuous variables are handled due to a modified objective function for maximum energy recovery. Node representation is used for addressing the exchangers and networks considered as a sequence of genes. Each gene consists of nodes for generating different structures within a network. Results show this method may find new or near optimal solutions with less than 2% increase in HENs annual cost.
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  Cite this Reference:
Shahram Ghanizadeh and Mojtaba Sedigh Fazli, 2013. Application of Genetic Algorithm on Heat Exchanger Network Optimization.  Research Journal of Applied Sciences, Engineering and Technology, 6(18): 3378-3383.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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