Wednesday, 10 March 2010

Wseas Transactions

New Subscription to Wseas Transactions

The following information was submitted:

Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 89-494
Full Name: Shu-Tan Hsieh
Position: Lecturer
Age: ON
Sex: Female
Address: 415 Chien Kung Road, Kaohsiung 807
Country: TAIWAN
Tel:
Tel prefix:
Fax:
E-mail address: shutan@cc.kuas.edu.tw
Other E-mails:
Title of the Paper: Use of GA based Approach for Engineering Design Through WWW
Authors as they appear in the Paper: Shu-Tan Hsieh
Email addresses of all the authors: shutan@cc.kuas.edu.tw
Number of paper pages: 10
Abstract: Today¡¦s industrial environment requires engineering design to be achieved by geographically distributed engineering teams who may work on different computer platforms, so the analogy can be presented as the distributed constraint optimization problems. This paper presents an agile approach that carries out a concurrent optimization of a product design and its associate constraint satisfaction in manufacturing perspective. Also, the approach has been implemented through the World Wide Web (WWW) regardless of the geographical constraints and different platforms used. In this paper, the hybrid evolution computation (EC) approaches combing genetic algorithm and stochastic annealing algorithms are applied to find optimal or near optimal solutions for two engineering design cases. The main contribution of this paper is to provide an agile approach for solving the engineering design problem which is modeled by the nonlinear programming model, and the approach is imp!
lemented through the WWW regardless of the geographical constraints and different platforms used. Experimental results are presented to exhibit the superior performance of the proposed methodology.
Keywords: Evolutionary computation, genetic algorithm, stochastic annealing, nonlinear programming, world wide web
EXTENSION of the file: .doc
Special (Invited) Session: Use of GA for Engineering Design Through WWW
Organizer of the Session: 642-275
How Did you learn about congress: Ta-Cheng Chen e-mail: tchen@nfu.edu.tw
IP ADDRESS: 123.205.75.36