Parameter tuning for meta-heuristics

作者：

Highlights：

• A generic parameter tuning methodology for meta-heuristic algorithms is proposed.

• It is based on the topological characteristics of the given optimization problem.

• The proposed approach is demonstrated by tuning the parameter α of G in GSA.

• The approach can be used to tune the parameter(s) of other meta-heuristics.

摘要

•A generic parameter tuning methodology for meta-heuristic algorithms is proposed.•It is based on the topological characteristics of the given optimization problem.•The proposed approach is demonstrated by tuning the parameter α of G in GSA.•The approach can be used to tune the parameter(s) of other meta-heuristics.

论文关键词：Parameter tuning,Gravitational search algorithm (GSA),Gravitational constant,Meta-heuristics

论文评审过程：Received 17 April 2019, Revised 30 September 2019, Accepted 6 October 2019, Available online 10 October 2019, Version of Record 16 January 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2019.105094