Pregled bibliografske jedinice broj: 916847
MODIFIED GENETIC ALGORITHM IN CHABOCHE MODEL PARAMETERS IDENTIFICATION
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 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 916847 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
MODIFIED GENETIC ALGORITHM IN CHABOCHE MODEL PARAMETERS IDENTIFICATION
Autori
Janeš, Gordan ; Car, Zlatan ; Puškarić, Miroslav
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
International Conference on Innovative Technologies, IN-TECH 2017
/ Pepelnjak, Tomaž ; Car, Zlatan ; Kudláček, Jan - Ljubljana, 2017, 85-88
Skup
International Conference on Innovative Technologies, IN-TECH 2017
Mjesto i datum
Ljubljana, Slovenija, 11.09.2017. - 13.09.2017
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
improved genetic algorithm ; material parameter identification ; genetic algorithm ; computer simulation ; chaboche material model
Sažetak
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
Izvorni jezik
Engleski
Znanstvena područja
Temeljne medicinske znanosti
