Pattern generation for multi-class LAD using iterative genetic algorithm with flexible chromosomes and multiple populations

作者：

Highlights：

• A pattern generation method for multi-class classification using LAD.

• Two decomposition approaches: one versus all, and one versus one.

• Iterative genetic algorithm with flexible chromosomes and multiple populations.

• Two control parameters: selecting patterns and deleting observations per iteration.

• The superiority of the suggested algorithm from a numerical experiment.

摘要

•A pattern generation method for multi-class classification using LAD.•Two decomposition approaches: one versus all, and one versus one.•Iterative genetic algorithm with flexible chromosomes and multiple populations.•Two control parameters: selecting patterns and deleting observations per iteration.•The superiority of the suggested algorithm from a numerical experiment.

论文关键词：Multi-class classification,Logical analysis of data,Decomposition,Genetic algorithm,Classification accuracy

论文评审过程：Available online 6 September 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.08.050