Efficiency evaluation for collaborative design based on GA-BP algorithm

Author

Xie, Qiu ; Liu, Zixian

Author_Institution

Manage. Sch., Tianjin Univ., Tianjin

fYear

2008

Firstpage

234

Lastpage

240

Abstract

With the development of collaborative design and its extensive application, collaborative design efficiency is becoming one of the hottest research topics. However, it is difficult for some common evaluation methods to analyze and evaluate collaborative design efficiency directly. Aiming at these problems, a GA-BP algorithm for collaborative design efficiency evaluation is proposed in this paper. Firstly, genetic algorithm (GA) and Back Propagation neural network (BP) are analyzed; secondly, the main principle and workflow of GA-BP algorithm are deep researched; finally, a practical collaborative design efficiency case is evaluated by GA-BP algorithm and Fuzzy AHP method individually as experimental studies. The result shows the validity and advantages of GA-BP algorithm in collaborative design efficiency evaluation.

Keywords

backpropagation; decision making; genetic algorithms; groupware; neural nets; software performance evaluation; GA-BP algorithm; back propagation neural network; collaborative design; efficiency evaluation; fuzzy AHP method; genetic algorithm; Algorithm design and analysis; Artificial neural networks; Collaboration; Collaborative work; Computer networks; Decision making; Fuzzy neural networks; Genetic algorithms; Globalization; Neural networks; Back Propagation neural network; Collaborative design; Efficiency evaluation; GA-BP algorithm; Genetic Algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Supported Cooperative Work in Design, 2008. CSCWD 2008. 12th International Conference on

Conference_Location

Xi´an

Print_ISBN

978-1-4244-1650-9

Electronic_ISBN

978-1-4244-1651-6

Type

conf

DOI

10.1109/CSCWD.2008.4536988

Filename

4536988