An efficient hybrid algorithm based on genetic algorithm (GA) and Nelder–Mead (NM) for solving nonlinear inverse parabolic problems

Autor:	H. Dana Mazraeh, R. Pourgholi
Jazyk:	angličtina
Rok vydání:	2018
Předmět:	hybrid nipp nonlinear inverse parabolic problem genetic algorithm nelder–mead the least squares method Applied mathematics. Quantitative methods T57-57.97
Zdroj:	Iranian Journal of Numerical Analysis and Optimization, Vol 8, Iss 2, Pp 119-140 (2018)
Druh dokumentu:	article
ISSN:	2423-6977 2423-6969
DOI:	10.22067/ijnao.v8i2.64202
Popis:	In this paper a hybrid algorithm based on genetic algorithm (GA) and Nelder–Mead (NM) simplex search method is combined with least squares method for the determination of temperature in some nonlinear inverse parabolic problems (NIPP). The performance of hybrid algorithm is established with some examples of NIPP. Results show that hybrid algorithm is better than GA and NM separately. Numerical results are obtained by implementation expressed algorithms on 2.20GHz clock speed CPU.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/a320b31a090642a9b5ed9b8beceedaef Zobrazit plný text záznamu View record in DOAJ