Previous [ 1] [ 2] [ 3] [ 4] [ 5] [ 6] [ 7] [ 8] [ 9] [ 10] [ 11] [ 12] [ 13] [ 14] [ 15] [ 16] [ 17] [ 18] [ 19] [ 20]

¡@

Journal of Information Science and Engineering, Vol. 23 No. 6, pp. 1923-1937 (November 2007)

Intelligent Decision Making Based on GA for Creative Apparel Styling*

Jeng-Jong Lin
 Department of Information Management
Vanung University
Chungli, 320 Taiwan

This paper describes a conceptual intelligent design system, which chiefly consists of a searching mechanism and a classifier. The searching mechanism is based on genetic algorithm (GA) to search for various evolved types of clothing combinations, and the classifier is constructed through learning and knowledge acquisition by an artificial neural network (ANN) to play a roll of evaluation mechanism to classify the evolved clothing wearing style combinations. With the assistance of this system, a user without any expertise of fashion design can effectively find out the design schema, which is the bestfitted solution for the demand.

Keywords: conceptual design, knowledge acquisition, wearing style, search mechanism, genetic algorithm

Full Text (¥þ¤åÀÉ) Retrieve PDF document (200711_18.pdf)

Received October 11, 2005; revised February 3 & April 7, 2006; accepted May 18, 2006.
Communicated by Kuo-Chin Fan.
*This work was supported in part by the National Science Council of Taiwan, R.O.C., under grant No. NSC 91-2212-E-238-002.