A Effective Knowledge Integration Algorithm Based on Culture Algorithm Framework

摘要：

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.

关键词： Cultural Algorithm Genetic Algorithm Knowledge Coding Knowledge Integration

作者: Sihua Chen

作者单位: Institute of Information Resource Management School of Information Management Jiangxi University of Finance And Economics, Nanchang, China, 330013

会议类型: 国际会议

会议名称: 2010 International Conference on Advanced Mechanical Engineering(2010年先进机械工程国际学术会议 AME 2010)

会议地点: 洛阳

会议语种:英文

页码: 310-314

在线出版日期: 2010-09-04（万方平台首次上网日期，不代表论文的发表时间）