Thermal-Economic Optimization of Plate–Fin Heat Exchanger Using Improved Gaussian Quantum-Behaved Particle Swarm Algorithm

Heat exchangers are usually designed using a sophisticated process of trial-and-error to find proper values of unknown parameters which satisfy given requirements. Recently, the design of heat exchangers using evolutionary optimization algorithms has received attention. The major aim of the present...

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Vydané v:	Mathematics (Basel) Ročník 10; číslo 14; s. 2527
Hlavní autori:	Moon, Joo Hyun, Lee, Kyun Ho, Kim, Haedong, Han, Dong In
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.07.2022
Predmet:	Cross flow Design optimization Economics Efficiency Evolutionary algorithms Fitness Heat exchangers Heuristic improved Gaussian quantum-behaved particle swarm optimization Mathematics modified local attractor Optimization algorithms Optimization techniques Particle swarm optimization plate–fin heat exchanger Random numbers Systems design thermal-economic optimization Velocity
ISSN:	2227-7390, 2227-7390
On-line prístup:	Získať plný text
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