A robust gene clustering algorithm based on clonal selection in multiobjective optimization framework

作者：

Highlights：

• Integration of clustering validity indexes as two conflicting objective functions.

• Fast convergence because of a novel population updating mechanism.

• Possibility of varying the number of clusters in a predefined range.

• Fixed population members length in spite of variable cluster numbers.

摘要

•Integration of clustering validity indexes as two conflicting objective functions.•Fast convergence because of a novel population updating mechanism.•Possibility of varying the number of clusters in a predefined range.•Fixed population members length in spite of variable cluster numbers.

论文关键词：Gene clustering,Multi-objective optimization,Clonal selection,Microarray

论文评审过程：Received 29 March 2018, Revised 5 June 2018, Accepted 25 June 2018, Available online 1 July 2018, Version of Record 20 July 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.06.047