Artificial Bee Colony algorithm based on Dominance (ABCD) for a hybrid gene selection method
作者：
Highlights：
• A new hybrid method for gene selection has been developed.
• The method combines AHP-based gene filtering, SVM, and ABCD algorithm.
• The evaluation has been performed with 11 cancer datasets of 7 types of cancer.
• Comparisons have been done with 7 multi-objective methods from other authors.
• The biological relevance has been evaluated, showing the good results of the proposal.
摘要
•A new hybrid method for gene selection has been developed.•The method combines AHP-based gene filtering, SVM, and ABCD algorithm.•The evaluation has been performed with 11 cancer datasets of 7 types of cancer.•Comparisons have been done with 7 multi-objective methods from other authors.•The biological relevance has been evaluated, showing the good results of the proposal.
论文关键词：Gene selection,Multi-objective optimization,Artificial bee colony algorithm,Cancer,Support vector machine,Analytic hierarchy process
论文评审过程：Received 11 March 2020, Revised 23 June 2020, Accepted 25 July 2020, Available online 29 July 2020, Version of Record 30 July 2020.
论文官网地址：https://doi.org/10.1016/j.knosys.2020.106323
