Velocity Bounded Boolean Particle Swarm Optimization for improved feature selection in liver and kidney disease diagnosis
作者：
Highlights：
• We propose VbBoPSO and IVbBoPSO for feature selection problem.
• In VbBoPSO, a new parameter Vmin is introduced to explore more regions in the search space.
• In the IVbBoPSO, stagnation is resolved, if exists.
• The scalability of VbBoPSO and IVbBoPSO is superior to BPSO and Boolean PSO.
• Elite features selected are more suitable to classify liver and kidney diseases.
摘要
•We propose VbBoPSO and IVbBoPSO for feature selection problem.•In VbBoPSO, a new parameter Vmin is introduced to explore more regions in the search space.•In the IVbBoPSO, stagnation is resolved, if exists.•The scalability of VbBoPSO and IVbBoPSO is superior to BPSO and Boolean PSO.•Elite features selected are more suitable to classify liver and kidney diseases.
论文关键词：Boolean Particle Swarm Optimization,BPSO,Feature selection,Liver cancer,Kidney cancer
论文评审过程：Received 15 November 2015, Revised 22 February 2016, Accepted 23 February 2016, Available online 2 March 2016, Version of Record 18 March 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.02.042
