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MODIFIED GENETIC ALGORITHM IN CHABOCHE MODEL PARAMETERS IDENTIFICATION (CROSBI ID 657113)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Janeš, Gordan ; Car, Zlatan ; Puškarić, Miroslav MODIFIED GENETIC ALGORITHM IN CHABOCHE MODEL PARAMETERS IDENTIFICATION // International Conference on Innovative Technologies, IN-TECH 2017 / Pepelnjak, Tomaž ; Car, Zlatan ; Kudláček, Jan (ur.). Ljubljana, 2017. str. 85-88

Podaci o odgovornosti

Janeš, Gordan ; Car, Zlatan ; Puškarić, Miroslav

engleski

MODIFIED GENETIC ALGORITHM IN CHABOCHE MODEL PARAMETERS IDENTIFICATION

Many of genetic algorithms that are commonly used have a major drawback – they have high computational power requirements, some in CPU time or high memory consumption or some of them both. So modified genetic was developed and in research presented in this paper algorithm was tested in Chaboche material model parameters identification for low-cycle fatigue. The experimental results show that modified genetic algorithm presented in this paper has a very good accuracy and speed in material model parameters identification

improved genetic algorithm ; material parameter identification ; genetic algorithm ; computer simulation ; chaboche material model

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Podaci o prilogu

85-88.

2017.

objavljeno

Podaci o matičnoj publikaciji

International Conference on Innovative Technologies, IN-TECH 2017

Pepelnjak, Tomaž ; Car, Zlatan ; Kudláček, Jan

Ljubljana:

0184-9069

Podaci o skupu

International Conference on Innovative Technologies IN-TECH 2017

predavanje

11.09.2017-13.09.2017

Ljubljana, Slovenija

Povezanost rada

Temeljne medicinske znanosti