A multi-objective optimization approach for the group formation problem
作者：
Highlights：
• Group formation (GF) depends on many factors, e.g., personal features and records.
• GF has been tackled as an optimization problem with a single objective function.
• This work proposes an optimization method which optimizes three different objectives.
• Our method was evaluated regarding performance and pedagogical aspects.
• The results showed our method is efficient and capable of forming suitable groups.
摘要
•Group formation (GF) depends on many factors, e.g., personal features and records.•GF has been tackled as an optimization problem with a single objective function.•This work proposes an optimization method which optimizes three different objectives.•Our method was evaluated regarding performance and pedagogical aspects.•The results showed our method is efficient and capable of forming suitable groups.
论文关键词：Group formation,Collaborative learning,Multi-objective optimization,Combinatorial optimization
论文评审过程：Received 13 March 2020, Revised 30 July 2020, Accepted 31 July 2020, Available online 18 August 2020, Version of Record 10 October 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113828
