A hybrid GA-ANFIS and F-Race tuned harmony search algorithm for Multi-Response optimization of Non-Traditional Machining process

作者：

Highlights：

• Integrated approaches for modelling and optimization of non-traditional machining process.

• Adaptive neuro-fuzzy inference system is used for modelling the machining process.

• F-race tuned harmony search algorithm is proposed to optimize the machining parameters.

• The significance of proposed approaches is statistically validated.

摘要

•Integrated approaches for modelling and optimization of non-traditional machining process.•Adaptive neuro-fuzzy inference system is used for modelling the machining process.•F-race tuned harmony search algorithm is proposed to optimize the machining parameters.•The significance of proposed approaches is statistically validated.

论文关键词：Taguchi,Genetic algorithm,ANFIS,Optimization,F-race,Harmony search algorithm,Box-behnken design

论文评审过程：Received 10 May 2021, Revised 15 November 2021, Accepted 20 March 2022, Available online 24 March 2022, Version of Record 29 March 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116965