Memetic computing for imprecise solution of T-shaped heat transfer fins. Issue 9 (2nd September 2021)

• Record Type: Journal Article
• Authors: Sadollah, Ali; Gao, Kaizhou; Kim, Joong Hoon
• Is Part Of: Engineering optimization. Volume 53:Issue 9(2021)
• Page Start: 1504
• Page End: 1522
• Publication Date: 2021-09-02
• Subjects: Metaheuristics -- analytical solution -- weighted residual function -- Fourier series -- T-shaped fins; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2020.1806256
• Languages: English
• ISSNs: 0305-215X

Abstract

Abstract : In this article, a model of a T-shaped fin, consisting of a set of ordinary differential equations (ODEs), is considered. The purpose of this article is to numerically solve ODE systems of a T-shaped fin (there is no reported exact and analytical solution) using an alternative approach. Utilizing a base approximation function, some mathematical principles and metaheuristics, an approximate solution very close to the existing numerical solution was found. The weighted residual function is used as an objective function along with its constraints, such as boundary and initial values. For the sake of comparison, a generational distance metric is used to evaluate the obtained results compared with the existing results in the literature. The approximate solution found by the applied approach demonstrates its efficiency and performance compared with the existing numerical approach.