Application of Interactive Genetic Algorithm based on hesitancy degree in product configuration for customer requirement

Autor:	Runliang Dou, Chao Zong
Jazyk:	angličtina
Rok vydání:	2014
Předmět:	Hesitancy Degree Interactive Genetic Algorithm Customer oriented Product Configuration Electronic computers. Computer science QA75.5-76.95
Zdroj:	International Journal of Computational Intelligence Systems, Vol 7, Iss 100 (2014)
Druh dokumentu:	article
ISSN:	18756891 1875-6883
DOI:	10.1080/18756891.2014.947118
Popis:	With significant impact on the personalized product configuration, Interactive Genetic Algorithm is introduced to respond to customer requirement. For the user could conveniently design their favorite product and interact with the system by a graphical interface, the car console conceptual design system is established. And IGA based on hesitancy degree is proposed in this paper to reduce user's uncertainty or fuzzy feeling. By repeating the simulation experiment, the results validate the effectiveness of the proposed method in this paper.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/a6cd9a26547743ceac503971521092ef Zobrazit plný text záznamu Full text from SpringerLink View record in DOAJ