A meta-evolutionary selection of constituents in ensemble differential evolution algorithm
作者：
Highlights：
• Automated design of ensemble differential evolution (DE) algorithm is presented.
• The proposed approach is Meta-evolutionary Selection of Constituents in Ensemble DE.
• The approach uses grammatical evolution as the meta evolutionary algorithm.
• The approach is demonstrated on CEC’17, CEC’14 and CEC’11 benchmark suites.
• Relieves the practitioners from the difficult task of algorithm configuration.
摘要
•Automated design of ensemble differential evolution (DE) algorithm is presented.•The proposed approach is Meta-evolutionary Selection of Constituents in Ensemble DE.•The approach uses grammatical evolution as the meta evolutionary algorithm.•The approach is demonstrated on CEC’17, CEC’14 and CEC’11 benchmark suites.•Relieves the practitioners from the difficult task of algorithm configuration.
论文关键词：Automated algorithm design,Grammatical evolution,Ensemble differential evolution,Parameter tuning,Meta evolutionary approach
论文评审过程：Received 2 November 2021, Revised 31 March 2022, Accepted 27 May 2022, Available online 3 June 2022, Version of Record 11 June 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.117667
