A new design approach for shell-and-tube heat exchangers using genetic algorithms from economic point of view
By R. Selbaş, O. Kizilkan, M. Reppich. 2006
252 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/e903e09f8be6b30ab37289e0840963cd54a0d590
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Ali A. Nazari
- Yash P. Gupta
- Hossein Mohammadi
- Salim Fettaka
- Jules Thibault
- Amin Hadidi
- Amer Nordin Darus
- Moslem Yousefi
In Computational Theory and Mathematics
- Ali A. Nazari
- Yash P. Gupta
- Hossein Mohammadi
- Salim Fettaka
- Jules Thibault
- Amin Hadidi
- Amer Nordin Darus
- Moslem Yousefi
In Mechanical Engineering
- Ali A. Nazari
- Yash P. Gupta
- Hossein Mohammadi
- Salim Fettaka
- Jules Thibault
- Amin Hadidi
- Amer Nordin Darus
- Moslem Yousefi
Citations in the corpus
- An imperialist competitive algorithm for optimal design of plate-fin heat exchangers (2012, methodology): “In the early attempts, GA was successfully applied for optimization of shell-and-tube heat exchanger [7,8] as well as obtaining heat transfer correlations for CHEs [9,10].”
- Design and economic optimization of shell-and-tube heat exchangers using biogeography-based (BBO) algorithm (2013, methodology): “[13] used genetic algorithm (GA) for optimal design of STHEs, in which pressure drop was applied as a constraint for achieving optimal design parameters.”
- Design of shell-and-tube heat exchangers using multiobjective optimization (2013, methodology): “used a binary-coded GA to minimize a cost function [8].”