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Enhancing the Firework Algorithm ecosystem for the reconstruction of the HTC function
Author(s) -
Z. Fried,
Imre Felde,
Sándor Szénási
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/903/1/012020
Subject(s) - genetic algorithm , computation , algorithm , computer science , function (biology) , heat transfer , transfer function , mathematical optimization , inverse problem , inverse , mathematics , engineering , geometry , thermodynamics , mathematical analysis , physics , evolutionary biology , electrical engineering , biology
The heat transfer coefficients reconstruction could be solved using several ways and configurations. The Inverse Heat Transfer Problems (IHCP) collects all kind of algorithms which try to solve the Heat Transfer Problems. These algorithms try to calculate the heat transfer coefficients inversely. There is some solution for solving this numerical method, but the bio-inspired solutions are better here even though they have some limitations because of this is a kind of genetic one. Using the Fireworks Algorithm (FWA), it is possible to introduce new methods, and modify the original FWA controlling system and parameters in an easy to adapt to this problem. Extensions are suggested with the major limitation of the genetic methods which solved by the proposed one, and with the faster computation of the new modified method.

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