Gaussian mutational chaotic fruit fly-built optimization and feature selection
作者：
Highlights：
• Gaussian mutation operator was introduced into FOA to avoid the premature convergence.
• Chaotic local search method was adopted for enhancing the local search ability of FOA.
• Extensive benchmark problems were used to verify the method.
摘要
•Gaussian mutation operator was introduced into FOA to avoid the premature convergence.•Chaotic local search method was adopted for enhancing the local search ability of FOA.•Extensive benchmark problems were used to verify the method.
论文关键词：Fruit fly optimization algorithm,Chaotic local search,Gaussian mutation,Feature selection,Global optimization
论文评审过程：Received 23 June 2019, Revised 7 September 2019, Accepted 24 September 2019, Available online 26 September 2019, Version of Record 4 October 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.112976
