A Effective Knowledge Integration Algorithm Based on Culture Algorithm Framework

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 unifor...

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Vydané v:Applied Mechanics and Materials Ročník 26-28; s. 310 - 314
Hlavný autor: Chen, Si Hua
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Zurich Trans Tech Publications Ltd 01.06.2010
Predmet:
Cultural Algorithm
Genetic Algorithm (GA)
Knowledge Integration
Knowledge Coding
ISBN:0878492496, 9780878492497
ISSN:1660-9336, 1662-7482, 1662-7482
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Shrnutí: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.
Bibliografia:Selected, peer reviewed papers from the 2010 International Conference on Advanced Mechanical Engineering (AME 2010) will be held on September 4~5, 2010 in Luoyang, China
ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISBN:0878492496
9780878492497
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.26-28.310