A hybrid approach of differential evolution and artificial bee colony for feature selection
作者：
Highlights：
• We developed a hybrid method for feature selection of classification tasks.
• Our hybrid method combines Artificial Bee Colony with Differential Evolution.
• We performed experiments over fifteen datasets from the UCI Repository.
• Our method selects good features without reducing accuracy of classification.
• By selecting features with our method, we reduced time required for classification.
摘要
•We developed a hybrid method for feature selection of classification tasks.•Our hybrid method combines Artificial Bee Colony with Differential Evolution.•We performed experiments over fifteen datasets from the UCI Repository.•Our method selects good features without reducing accuracy of classification.•By selecting features with our method, we reduced time required for classification.
论文关键词：Feature selection,Hybrid optimization,Artificial bee colony,Differential evolution,Classification
论文评审过程：Received 16 March 2015, Revised 13 May 2016, Accepted 2 June 2016, Available online 8 June 2016, Version of Record 16 June 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.06.004
