A Constraint Based Evolutionary Decision Support System for Product Design

被引：6

作者：

Yu Guoyan ^{[1
]}

Wang Xiaozhen ^{[1
]}

Li Peng ^{[1
]}

机构：

[1] Guangdong Ocean Univ, Coll Engn, Zhanjiang 524025, Guangdong, Peoples R China

来源：

CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS | 2009年

关键词：

Constraint based; Genetic algorithm; Product design; Cooperative Interactive; GENETIC ALGORITHMS; CONCEPTUAL DESIGN;

D O I：

10.1109/CCDC.2009.5191831

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

At conceptual design stage, designers often tend to be restricted by general stereotypes and by their previous design experiences. Consequently, this paper proposes a constraint-based cooperative interactive design method, in order to combine human intelligence and computer intelligence for product design. The model of constraint based human machine cooperative interactive design system is described, how to realize the human machine cooperative interactive optimal search by genetic algorithm (GA) is discussed in detail. in design process, GA is employed to search for a near-optimal design, and a trained neural network is used as a fitness function. Finally, A mould injection structure design is chosen as the subject of the current investigation.

引用

页码：2585 / 2590

页数：6

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