Paper Title:
A Effective Knowledge Integration Algorithm Based on Culture Algorithm Framework
  Abstract

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
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