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