Volume 7 Number 5 (May 2012)
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JCP 2012 Vol.7(5): 1080-1086 ISSN: 1796-203X
doi: 10.4304/jcp.7.5.1080-1086

A Novel Culture Algorithm for Knowledge Integration

Si-hua Chen
Institute of Information Resource Management, School of Information Management Jiangxi University of Finance And Economics, Nanchang, China, 330013
Abstract—Integrating knowledge from different subjects and sources to obtain an effective knowledge base is the key to improve decision quality and enhance organizational core competency. We put forward a knowledge integration strategy under the framework of culture algorithm. It encodes the knowledge uniformly and through the evolvement of the two phases of population space and belief space the communication protocol is established among the two spaces. Then an effective and concise knowledge base is automatically produced without any knowledge of specific fields. The experiment shows that comparing with traditional genetic algorithm, the model can classify the knowledge more precisely, reduce redundant knowledge and remove contradictory knowledge.

Index Terms—Cultural Algorithm, Genetic Algorithm, Knowledge Coding, Knowledge Integration.

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Cite: Si-hua Chen, "A Novel Culture Algorithm for Knowledge Integration," Journal of Computers vol. 7, no. 5, pp. 1080-1086, 2012.

General Information

ISSN: 1796-203X
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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