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Information Journal Paper

Title

AN EFFICIENT COUPLED GENETIC ALGORITHM-NLP METHOD FOR HEAT EXCHANGER NETWORK SYNTHESIS

Pages

  22-33

Keywords

HEAT EXCHANGER NETWORKS (HENS) 
GENETIC ALGORITHM (G.A.) 

Abstract

 Synthesis of heat exchanger networks (HENs) is inherently a mixed integer and nonlinear programming (MINLP) problem. Solving such problems leads to difficulties in the OPTIMIZATION of continuous and binary variables. This paper presents a new efficient and robust method in which structural parameters are optimized by genetic algorithm (G.A.) and continuous variables are handled due to a modified objective function for maximum energy recovery (MER). Node representation is used for addressing the exchangers and networks are considered as a sequence of genes. Each gene consists of nodes for generating different structures within a network. Results show that this method may find new or near optimal solutions with a less than 2% increase in Hen annual costs.

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    • Cite

    APA: Copy

    REZAEI, E., & SHAFIEI, S.. (2008). AN EFFICIENT COUPLED GENETIC ALGORITHM-NLP METHOD FOR HEAT EXCHANGER NETWORK SYNTHESIS. IRANIAN JOURNAL OF CHEMICAL ENGINEERING, 5(1), 22-33. SID. https://sid.ir/paper/298283/en

    Vancouver: Copy

    REZAEI E., SHAFIEI S.. AN EFFICIENT COUPLED GENETIC ALGORITHM-NLP METHOD FOR HEAT EXCHANGER NETWORK SYNTHESIS. IRANIAN JOURNAL OF CHEMICAL ENGINEERING[Internet]. 2008;5(1):22-33. Available from: https://sid.ir/paper/298283/en

    IEEE: Copy

    E. REZAEI, and S. SHAFIEI, “AN EFFICIENT COUPLED GENETIC ALGORITHM-NLP METHOD FOR HEAT EXCHANGER NETWORK SYNTHESIS,” IRANIAN JOURNAL OF CHEMICAL ENGINEERING, vol. 5, no. 1, pp. 22–33, 2008, [Online]. Available: https://sid.ir/paper/298283/en

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