A bi-phased multi-objective genetic algorithm based classifier

作者：

Highlights：

• We have proposed a Bi-Phased Multi-Objective Genetic Algorithm.

• We have done data classification by the proposed algorithm.

• It is a cyclic algorithm.

• Statistical tests show that the performance of the proposed algorithm is comparable.

摘要

•We have proposed a Bi-Phased Multi-Objective Genetic Algorithm.•We have done data classification by the proposed algorithm.•It is a cyclic algorithm.•Statistical tests show that the performance of the proposed algorithm is comparable.

论文关键词：Classification rules mining,Elitist Multi-Objective Genetic Algorithm,Pareto approach,Statistical test

论文评审过程：Received 31 August 2019, Revised 21 December 2019, Accepted 22 December 2019, Available online 2 January 2020, Version of Record 15 January 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.113163