loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Sixth International Conference on Hybrid Intelligent Systems (HIS'06)
A Multi-Objective Evolutionary Algorithm to Build Knowledge Classification Rules with Specific Properties
Auckland, New Zealand
December 13-December 15
ISBN: 0-7695-2662-4
Adriano D. Pila, ICMC/USP Sao Carlos, Brazil
Rafael Giusti, ICMC/USP Sao Carlos, Brazil
Ronaldo C. Prati, ICMC/USP Sao Carlos, Brazil
Maria Carolina Monard, ICMC/USP Sao Carlos, Brazil
This work proposes the use of evolutionary algorithms to build individual knowledge rules with specific properties that are usually neglected when conducted by traditional supervised learning methods. The proposed evolutionary algorithm uses a rank-based, multi-objective fitness function that enables the arrangement of any set of measures. Experimental results that show the suitability of our proposal are also presented.
Citation:
Adriano D. Pila, Rafael Giusti, Ronaldo C. Prati, Maria Carolina Monard, "A Multi-Objective Evolutionary Algorithm to Build Knowledge Classification Rules with Specific Properties," his, pp.41, Sixth International Conference on Hybrid Intelligent Systems (HIS'06), 2006
Usage of this product signifies your acceptance of the Terms of Use.