Pseudo-feasible solutions in evolutionary bilevel optimization: Test problems and performance assessment
作者：
Highlights：
• Theoretical study on the existence of pseudo-feasible solutions in bilevel optimization.
• Test problems are proposed to assess, via an empirical study, the performance of state-of-the-art evolutionary algorithms.
• Conditions to identify pseudo-feasible solutions and also exemplify its usage.
• Studying pseudo-feasible solutions provides more information about bilevel optimization problems.
• More robust proposals (test problems, algorithms, bilevel mathematical models, etc.) can be designed in the future.
摘要
•Theoretical study on the existence of pseudo-feasible solutions in bilevel optimization.•Test problems are proposed to assess, via an empirical study, the performance of state-of-the-art evolutionary algorithms.•Conditions to identify pseudo-feasible solutions and also exemplify its usage.•Studying pseudo-feasible solutions provides more information about bilevel optimization problems.•More robust proposals (test problems, algorithms, bilevel mathematical models, etc.) can be designed in the future.
论文关键词：Bilevel optimization,Evolutionary algorithms,Performance comparison,
论文评审过程：Received 24 February 2021, Revised 24 June 2021, Accepted 29 July 2021, Available online 16 August 2021, Version of Record 16 August 2021.
论文官网地址：https://doi.org/10.1016/j.amc.2021.126577
