A multi-objective optimization procedure for solving the high-order epistasis detection problem
作者：
Highlights：
• The high-order epistasis detection problem is an important task in biomedicine.
• This task can be tackled as a two-objective optimization problem.
• We have designed a problem-aware evolutionary offspring process.
• The experiments have been done over different datasets and epistasis sizes.
• The proposal improves other methods in both multi-objective and biological terms.
摘要
•The high-order epistasis detection problem is an important task in biomedicine.•This task can be tackled as a two-objective optimization problem.•We have designed a problem-aware evolutionary offspring process.•The experiments have been done over different datasets and epistasis sizes.•The proposal improves other methods in both multi-objective and biological terms.
论文关键词：Multi-Objective optimization,Evolutionary computation,Single nucleotide polymorphism,High-Order epistasis,Parallelism
论文评审过程：Received 6 June 2019, Revised 10 September 2019, Accepted 1 October 2019, Available online 2 October 2019, Version of Record 10 October 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.113000
