Adaptive artificial bee colony algorithm for classification problem
MA An-xian · Journal of Jilin University · 2016
Appropriate rule evaluation functions are important to improve the performance of classification algorithm based on rules.In order to obtain the comprehensible classification rules,an adaptive artificial bee colony algorithm,called A_ABC algorithm,is proposed.The A_ABC algorithm can adaptively select a appropriate rule evaluation function for the given data,and effectively process both discrete attributes and continuous attributes.The proposed A_ABC algorithm is evaluated by experiment using different standard real datasets,and compared with existing classification algorithms.Results show that the A_ABC algorithm can solve classification problems more effectively than the existing algorithms.