AIMOES: Archive information assisted multi-objective evolutionary strategy for ab initio protein structure prediction

作者：

Highlights：

• Treating protein structure prediction (PSP) problem as a multi-objective optimization problem is designed.

• A multi-objective evolutionary algorithm which reuses past search experience to enhance search capacity is proposed.

• A novel method to measure the similarity between two proteins’ conformations in genotype space is introduced.

• A complete test on 25 proteins is carried out to verify the effectiveness of reusing strategy.

摘要

•Treating protein structure prediction (PSP) problem as a multi-objective optimization problem is designed.•A multi-objective evolutionary algorithm which reuses past search experience to enhance search capacity is proposed.•A novel method to measure the similarity between two proteins’ conformations in genotype space is introduced.•A complete test on 25 proteins is carried out to verify the effectiveness of reusing strategy.

论文关键词：Multi-objective evolutionary algorithm,Reuse search experience,Hierarchical clustering,Protein structure prediction

论文评审过程：Received 5 October 2017, Revised 3 December 2017, Accepted 26 January 2018, Available online 31 January 2018, Version of Record 28 February 2018.

论文官网地址：https://doi.org/10.1016/j.knosys.2018.01.028