Landscape-assisted multi-operator differential evolution for solving constrained optimization problems
作者：
Highlights：
• A multi-operator Differential Evolution Algorithm is proposed.
• A landscape-based adaptive operator selection mechanism is developed.
• Three Constrained benchmark optimization problems had been solved.
• Ten real-world constrained optimization problems had been solved.
• Experiments showed that the proposed method outperforms state-of-the-art algorithms.
摘要
•A multi-operator Differential Evolution Algorithm is proposed.•A landscape-based adaptive operator selection mechanism is developed.•Three Constrained benchmark optimization problems had been solved.•Ten real-world constrained optimization problems had been solved.•Experiments showed that the proposed method outperforms state-of-the-art algorithms.
论文关键词：Evolutionary algorithms,Differential evolution,Landscape analysis,Adaptive operator selection,Constrained optimization
论文评审过程：Received 3 July 2019, Revised 27 September 2019, Accepted 15 October 2019, Available online 16 October 2019, Version of Record 10 October 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.113033
