Neural network and fuzzy system for the tuning of Gravitational Search Algorithm parameters

作者：

Highlights：

• Neural network and Fuzzy Inference system for the tuning of GSA parameters are designed.

• A revised version of GSA is proposed with a new parameters definition.

• The proposed algorithm improves GSA with the same computational complexity.

摘要

•Neural network and Fuzzy Inference system for the tuning of GSA parameters are designed.•A revised version of GSA is proposed with a new parameters definition.•The proposed algorithm improves GSA with the same computational complexity.

论文关键词：Computational intelligence,Fuzzy systems,Gravitational Search Algorithm,Neural networks,Search algorithms.

论文评审过程：Received 12 October 2017, Revised 16 February 2018, Accepted 17 February 2018, Available online 17 February 2018, Version of Record 19 March 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.02.026