Pregled bibliografske jedinice broj: 177328
Evolutionary Algorithm Adapted for Matching Weave and Color in Fabrics Design
Evolutionary Algorithm Adapted for Matching Weave and Color in Fabrics Design // Book of Proceedings of the 2nd International Textile, Clothing & Design Conference / Dragčević, Zvonko ; Hursa, Anica ; Krmpotić, Natali ; Rogale, Dubravko ; Rolich, Tomislav ; Soljačić, Ivo ; Vujasinović, Edita ; Vuljanić, Nikola (ur.).
Zagreb: A & C Design, 2004. str. 867 - 872 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 177328 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Evolutionary Algorithm Adapted for Matching Weave and Color in Fabrics Design
Autori
Grundler, Darko ; Rolich, Tomislav
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Book of Proceedings of the 2nd International Textile, Clothing & Design Conference
/ Dragčević, Zvonko ; Hursa, Anica ; Krmpotić, Natali ; Rogale, Dubravko ; Rolich, Tomislav ; Soljačić, Ivo ; Vujasinović, Edita ; Vuljanić, Nikola - Zagreb : A & C Design, 2004, 867 - 872
Skup
The 2nd International Textile, Clothing & Design Conference, Magic World of Textiles
Mjesto i datum
Dubrovnik, Hrvatska, 03.10.2004. - 07.10.2004
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Interactive evolutionary algorithm; weave and colour; micro evolutionary algorithm; fabric; MATLAB
Sažetak
Application of evolutionary algorithms for fabric design imposes numerous limitations, especially in the population size and the number of fitness evaluations. Fitness evaluation for matching weave and colour in fabric design is a human aesthetic evaluation, so it is necesarry to take into account psychological aspects. Standard evolutionary algorithm has on average the population size 50 - 100, the number of generation 500 - 5000, which leads to 25000-500000 fitness evaluations. Because of temporal and psychological limitations, such algorithms are not appropriate for the applications in which fitness evaluation is a human subjective evaluation. For these reasons, instead of standard evolutionary algorithms, interactive micro evolutionary algorithms are used. Their characteristics are relatively small population size (8-15) and a small number of generations (5-15). Interactive micro evolutionary algorithm is described and its application for matching weaves and colors in fabrics design proposed. Its acceptability for human subjective evaluation is also investigated.
Izvorni jezik
Engleski
Znanstvena područja
Tekstilna tehnologija