Optimal design approach for the plate-fin heat exchangers using neural networks cooperated with genetic algorithms-Reference-Cited by-同舟云学术

Optimal design approach for the plate-fin heat exchangers using neural networks cooperated with genetic algorithms

Published:2008-04 Issue:5-6 Volume:28 Page:642-650
ISSN:1359-4311
Container-title:Applied Thermal Engineering
language:en
Short-container-title:Applied Thermal Engineering

Author:

Peng Hao,Ling Xiang

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Energy Engineering and Power Technology

Reference23 articles.

1. K. Aminian, D. Patchen, Thermoacoustic liquefaction of coal mine methane to produce LNG for heavy vehicle applications, U.S. Department of Energy Report, 1999.

2. A new design approach for shell-and-tube heat exchangers using genetic algorithms from economic point of view;Selbas;Chem. Eng. Process.,2006

3. Optimum design of plate-fin heat exchanger with genetic algorithm;Zhang;J. Aerosp. Power,2004

4. Geometrical optimization design of plate-fin heat exchanger using genetic algorithm;Xie;Proc. Chin. Soc. Elec. Eng.,2006

5. Optimal design of shell-and-tube heat exchangers;Reppich;Comput. Chem. Eng.,1994

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