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

作     者：Dou, Runliang Zong, Chao 

作者机构：Tianjin Univ Coll Management & Econ Tianjin 300072 Peoples R China 

出 版 物：《INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS》 (国际计算智能系统杂志)

年 卷 期：2014年第7卷第Sup2期

页      面：74-84页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：National Science Fund 

主　　题：Hesitancy Degree Interactive Genetic Algorithm Customer oriented Product Configuration 

摘      要：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.