DocumentCode :
1924810
Title :
Research on the bilateral negotiation algorithms of cooperative design system based on genetic algorithm
Author :
Wang, Shao-Mei ; Wen-Bin Hu
Author_Institution :
Coll. of Logistics, Wuhan Univ. of Technol., China
Volume :
1
fYear :
2005
fDate :
24-26 May 2005
Firstpage :
39
Abstract :
The negotiation of conflict problem in the cooperation design system was studied from the view of solving negotiation problems. A bilateral negotiation algorithm, which was based on genetic algorithm, was presented for the cooperative design system, the realizing project and step of the algorithm was designed. The Pareto solution of the negotiation problem was solved by transferring vector-optimal problems into scalar-optimal problems to support the designer to harmonize the conflict of the design project. The result shows that the method of this paper can get more Pareto solutions, which can provide more selecting chances and selecting space in the cooperative design course.
Keywords :
CAD; Pareto optimisation; genetic algorithms; groupware; negotiation support systems; Pareto solution; bilateral negotiation algorithm; conflict problem; cooperative design system; genetic algorithm; scalar-optimal problems; Algorithm design and analysis; Biological cells; Collaboration; Computer science; Cooperative systems; Costs; Genetic algorithms; Logistics; Manufacturing; Product design;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Supported Cooperative Work in Design, 2005. Proceedings of the Ninth International Conference on
Print_ISBN :
1-84600-002-5
Type :
conf
DOI :
10.1109/CSCWD.2005.194142
Filename :
1504048
Link To Document :
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