An integrated computational intelligence approach to product concept generation and evaluation

被引：56

作者：

Huang, HZ ^{[1
]}

Bo, RF

Chen, W

机构：

[1] Univ Elect Sci & Technol China, Sch Mechatron Engn, Chengdu 610054, Sichuan, Peoples R China

[2] Dalian Univ Technol, Sch Mech Engn, Dalian 116023, Peoples R China

[3] Northwestern Univ, Dept Mech Engn, Evanston, IL 60208 USA

来源：

MECHANISM AND MACHINE THEORY | 2006年 / 41卷 / 05期

基金：

中国国家自然科学基金;

关键词：

conceptual design; computational intelligence; optimal concept; genetic algorithm; fuzzy neural network;

D O I：

10.1016/j.mechmachtheory.2005.07.006

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Product concept generation and evaluation are two major activities for obtaining an optimal concept in conceptual design. In this paper, an integrated computational intelligence approach is proposed for dealing with these two aspects. A group of satisfactory concepts are generated first by using genetic algorithm and incorporating the information from knowledge base. Then concept evaluation and decision making are implemented using fuzzy neural network to obtain an optimal concept. Our procedure of using computational intelligence in conceptual design is described. The key issues in implementing the proposed approach are discussed, and finally the applicability of the proposed method is illustrated with an engineering example. (C) 2005 Elsevier Ltd. All rights reserved.

引用

页码：567 / 583

页数：17

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