A Effective Knowledge Integration Algorithm Based on Culture Algorithm Framework

Abstract:

Article Preview

The key to obtain an effective knowledge base to improve decision quality and enhance organizational core competency is integrating the knowledge from different subjects and sources. We put forward a knowledge integration strategy based on culture algorithm framework. It encodes the knowledge uniformly and evolutes among the two phases of population space and belief space. Through the communication protocol established among the two spaces, an effective and concise knowledge base is obtained. The experiment shows that comparing with traditional genetic algorithm the model can classify the knowledge more precisely, reduce redundant knowledge and remove contradictory knowledge.

Info:

Periodical:

Edited by:

Zhenyu Du and Bin Liu

Pages:

310-314

DOI:

10.4028/www.scientific.net/AMM.26-28.310

Citation:

S. H. Chen "A Effective Knowledge Integration Algorithm Based on Culture Algorithm Framework", Applied Mechanics and Materials, Vols. 26-28, pp. 310-314, 2010

Online since:

June 2010

Authors:

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.