Please wait a minute...
New Technology of Library and Information Service  2006, Vol. 1 Issue (11): 81-84    DOI: 10.11925/infotech.1003-3513.2006.11.20
Current Issue | Archive | Adv Search |
Research on Partners Selection of Collaborative Product Design Chain Based on Ant Algorithm
Wang Youyuan1,2   Xu Xinwei2   Zhou Rigui2
1(School of Aeronautics and Mechanical Engineering,Nanchang Institute of Aeronautical Technology,  Nanchang 330034, China)
2(Application and Research Institute of Computer, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)
Download: PDF (0 KB)  
Export: BibTeX | EndNote (RIS)      

Optimizing design chain can cut down the time to market, thus, acquire competitive advantage. Partners selection is very important to collaborative product design chain, the issue of partners selection is a combinational optimize. This paper puts forward a new method based on combination of genetic algorithm and ant algorithm, using genetic algorithm to generate preliminary pheromone distribution for ant algorithm, then ant algorithm searches for optimal result, the result by this method accord with practicality.

Key wordsPartners selection      Ant algorithm      Genetic algorithm      Collaborative product design chain     
Received: 24 July 2006      Published: 25 November 2006


Corresponding Authors: Wang Youyuan     E-mail:
About author:: Wang Youyuan,Xu Xinwei,Zhou Rigui

Cite this article:

Wang Youyuan,Xu Xinwei,Zhou Rigui . Research on Partners Selection of Collaborative Product Design Chain Based on Ant Algorithm. New Technology of Library and Information Service, 2006, 1(11): 81-84.

URL:     OR

1Cadence Design Systems. Design Chain Optimization: Competing in the disaggregated electronics industry, Cadence Design Systems, White Paper,2003
2Collaborative design chain management-The next wave of opportunity for B2B trading exchanges, Windchill projectlink B2B whiter paper, 2002 parametric technology
3艾习. Ray Bingham先生谈设计链优化. 电子产品世界,2002(11):14
4Peter O'Grady ,Wen-chieh Chuang. Research Issues in E-Commerce and Product Development.  International Journal Cybernetics and Systems, 2001(32):775-796
5王有远,宗文军,丁秋林. 基于设计链管理的产品开发组织创新. 工业技术经济,2006, 25(2):115-117
6Michael E.Mcgrath. How to Select Design Chain partners. Electronics Design Chain Magazine,,2002, fall:10-11(Accessed Jun.4,2006)
7Nayak N,Bhaskaran K and Das R. Virtual Enterprises: Building Blocks for Dynamic e-Business. Proceedings of the Workshop on Information Technology for Virtual Enterprises, Queensland,Australia, 2001,January29-30:80-87
8Meade L M, Liles D H. Justifying strategic alliances and partnering: A prerequisite for virtual enteprising. Omega-International Journal of Management Science,1997, 25(1):29-42
9Richards H D,Dudenhausen H M,Makatsoris C et al. Flow of Orders Through a Virtual Enterprise-Their Proactive Planning and Scheduling,and Reactive Control. Computing & Control Engineering Journal,1997(8):173-179
10李全龙,徐晓飞. 动态联盟伙伴选择的一种自适应遗传算法. 高技术通讯,2001(10):66-69
11王小平,曹立明. 遗传算法-理论、应用与软件实现. 西安:西安交通大学出版社,2002
12李敏强,徐博艺,寇纪淞. 遗传算法与神经网络的结合. 系统工程理论与实践,1999,19(2):65-69
13Dorigo M, Maniezzo V, Colorni A. The an system: optimization by a colony of cooperating agents. IEEE Transactions on Systems, Man, and Cybernetics,Part B,1996,26(1):1-13
14阎志华. 虚拟企业信息系统若干关键技术研究:[学位论文].南京:南京航空航天大学,2004
15薄瑞峰,黄洪钟,吴卫东等.  蚂蚁算法在概念设计方案求解中的应用. 西安交通大学学报, 2005,39(11):1236-1240
16吴庆洪,张纪会,徐心和. 具有变异特征的蚁群算法. 计算机研究与发展,1999,36(10):1240-1245
18李敏强,寇纪松,林丹等. 遗传算法的基本理论与应用. 北京:科学出版社,2002
19周明,孙树栋. 遗传算法原理及应用. 北京:国防工业出版社,1999
20Thomas Stutzle,Holger H Hoos et al. MAX-MIN and System. Future Generation Computer System,2000,16(8):889-914

[1] Yan Jing,Bi Qiang,Li Jie,Wang Fu. Construction of Aggregation Quality Predicting Model for Digital Resource in Library ——Based on Improved Genetic Algorithm and BP Neural Network[J]. 数据分析与知识发现, 2017, 1(12): 49-62.
[2] Gao Jinsong, Cheng Ya, Liang Yanqi. Ontology Matching for Linked Data Set[J]. 现代图书情报技术, 2015, 31(6): 33-40.
[3] Lu Yonghe, Liang Minghui. Improvement of Text Feature Extraction with Genetic Algorithm[J]. 现代图书情报技术, 2014, 30(4): 48-57.
[4] Tai Lijun, Hu Rufu, Zhao Han, Chen Caowei. Application Research of Improved Genetic Neural Network Algorithm in Sales Forecast[J]. 现代图书情报技术, 2012, 28(1): 63-67.
[5] Zhang Han, Han Shuang, Bai Xing, Cui Lei. Application of Genetic Algorithm to Identify Hot Topics from Medical Literature[J]. 现代图书情报技术, 2011, 27(3): 57-61.
[6] Hao Zhangang,Wang Zhengou . A New Clustering Algorithm Based on GA and K-medoids Algorithm[J]. 现代图书情报技术, 2006, 1(5): 44-46.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938