Distributed genetic algorithm can be combined with the adaptive genetic algorithm for mining the interesting and comprehensible classification rules. The paper gives the method to encode for the rules, the fitness function, the selecting, crossover, mutation and migration operator for the DAGA at the same time are designed.
Distributed genetic algorithm can be combined with the adaptive genetic algorithm for mining the interesting and comprehensible classification rules. The paper gives the method to encode for the rules, the fitness function, the selecting, crossover, mutation and migration operator for the DAGA at the same time are designed.
YI Yunfei;LIN Fang;QIN Jun
Hechi University, Hechi, 546300, ChinaCollege of Computer Science, South Central University for Nationalities, Wuhan, 430074, China
信息技术与安全科学
classification rules;adaptive genetic algorithm;information gain;distributed genetic algorithm
classification rules;adaptive genetic algorithm;information gain;distributed genetic algorithm
《现代电子技术》 2008 (010)
132-135,138 / 5
National Ethnic Affairs Commission Nature Science Foundation of China (PMZY06004);the Education Science Foundation of Guangxi (2006A-E004)
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