Hybrid metaheuristics: An automated approach
作者：
Highlights：
• Single-point and multi-point metaheuristics are hybridized automatically.
• The hybridization is achieved by exchangeing design choices among different metaheuristics (low-level hybridization) and sequencing metaheuristics (high-level hybridization).
• The aircraft landing problem and the two-dimensional bin packing problem are used to evaluate the approach.
• The results assure the effectiveness and reusability of the automated approach.
摘要
•Single-point and multi-point metaheuristics are hybridized automatically.•The hybridization is achieved by exchangeing design choices among different metaheuristics (low-level hybridization) and sequencing metaheuristics (high-level hybridization).•The aircraft landing problem and the two-dimensional bin packing problem are used to evaluate the approach.•The results assure the effectiveness and reusability of the automated approach.
论文关键词：Hybrid metaheuristic,Meta-genetic algorithm,Automated design
论文评审过程：Received 17 July 2018, Revised 12 April 2019, Accepted 12 April 2019, Available online 13 April 2019, Version of Record 19 April 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.04.027
