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《Journal of Hefei Normal University》 2011-03
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The Discretization Method Based on Adaptive Genetic Algorithm

XU Wen-ting1, LI Cheng-peng2,3(1.Department of Mathematics,Hefei Normal University,Hefei 230601,China;2.Mechatronics Engineering Department,Anqing Vocational Technical College,Anqing 246003,China;3.Department of Mathematics,Anqing Normal University,Anqing 246011,China)  
Attribute discretization is one of the key issues of the application of Rough set theory.This paper studies discretization method in Rough set theory based on genetic algorithm.The discretization method based on adaptive genetic algorithm is presented.The cross and mutation probability of each individual are adjusted,and the selection probability of every individual of the population is optimized in this algorithm.Experimental results show that the algorithm can evidently improve global optimization capability and convergence speed.
【CateGory Index】: TP18
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【Citations】
Chinese Journal Full-text Database 3 Hits
1 WANG Yang(School of Computer and Communication Engineering,Liaoning University of Petroleum & Chemical Technology,Fushun Liaoning 113001,P.R.China);Rough Set Attribute Reduction Algorithm Based on Adaptive GA[J];Journal of Liaoning University of Petroleum & Chemical Technology;2008-04
2 ZHANG Jing-zhao1,JIANG Tao1,21.Department of Remote Sensing Science and Technology,Geomatics College,Shandong University of Science and Technology,Qingdao,Shandong 266510,China 2.Key Laboratory of Fundamental Geographic Information & Digital Technology of Shandong,Qingdao,Shandong 266510,China;Improved adaptive genetic algorithm[J];Computer Engineering and Applications;2010-11
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