Bee Colony Optimization metaheuristic for fuzzy membership functions tuning

作者：

Highlights：

• Paper considers tuning the membership functions of a fuzzy logic system.

• We apply the Bee Colony Optimization (BCO) metaheuristic.

• The test way done on one numerical example.

• It was obtained significantly improved results of the fuzzy logic system.

摘要

•Paper considers tuning the membership functions of a fuzzy logic system.•We apply the Bee Colony Optimization (BCO) metaheuristic.•The test way done on one numerical example.•It was obtained significantly improved results of the fuzzy logic system.

论文关键词：Fuzzy logic system,Bee Colony Optimization,Freight train energy consumption

论文评审过程：Received 19 November 2019, Revised 25 May 2020, Accepted 26 May 2020, Available online 30 May 2020, Version of Record 20 June 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113601