ADEMO/D: An adaptive differential evolution for protein structure prediction problem
作者：
Highlights：
• The paper presents an approach for continuous multi-objective optimization.
• We hybridize decomposition based EMOs with adaptive operator selection methods.
• We apply our approach to the protein structure prediction problem.
• The paper gives special attention to the decision maker description and analysis.
• The effectiveness of the proposed approach is shown on a set of six real proteins.
摘要
•The paper presents an approach for continuous multi-objective optimization.•We hybridize decomposition based EMOs with adaptive operator selection methods.•We apply our approach to the protein structure prediction problem.•The paper gives special attention to the decision maker description and analysis.•The effectiveness of the proposed approach is shown on a set of six real proteins.
论文关键词：Multiplicative optimization,Adaptive differential evolution,Probability matching,Protein structure prediction
论文评审过程：Received 9 April 2015, Revised 14 February 2016, Accepted 4 March 2016, Available online 10 March 2016, Version of Record 28 March 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.03.009
