Application of multi-objective optimization to blind source separation

作者：

Highlights：

• A multi-objective blind source separation approach is proposed.

• Solutions include the ones found by mono-objective optimization of single criterion.

• One may find non-dominate solutions closer to mean squared error ones.

• The set of estimates can be used by the expert in order to take the decision.

摘要

•A multi-objective blind source separation approach is proposed.•Solutions include the ones found by mono-objective optimization of single criterion.•One may find non-dominate solutions closer to mean squared error ones.•The set of estimates can be used by the expert in order to take the decision.

论文关键词：Blind source separation,Multi-objective optimization,Evolutionary algorithms

论文评审过程：Received 8 June 2018, Revised 17 April 2019, Accepted 17 April 2019, Available online 18 April 2019, Version of Record 28 April 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.04.041