A Hybrid Approach of ANFIS—Artificial Bee Colony Algorithm for Intelligent Modeling and Optimization of Plasma Arc Cutting on Monel™ 400 Alloy

A Hybrid Approach of ANFIS—Artificial Bee Colony Algorithm for Intelligent Modeling and Optimization of Plasma Arc Cutting on Monel™ 400 Alloy

This paper focusses on a hybrid approach based on genetic algorithm (GA) and an adaptive neuro fuzzy inference system (ANFIS) for modeling the correlation between plasma arc cutting (PAC) parameters and the response characteristics of machined Monel 400 alloy sheets. PAC experiments are performed ba...

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Bibliographic Details
Main Authors: Mahalingam Siva Kumar, Devaraj Rajamani, Emad Abouel Nasr, Esakki Balasubramanian, Hussein Mohamed, Antonello Astarita
Format: article
Language:EN
Published: MDPI AG 2021
Subjects:
modeling
genetic algorithm
adaptive neuro-fuzzy inference system
optimization
artificial bee colony algorithm
box-behnken design
Technology
T
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Engineering (General). Civil engineering (General)
TA1-2040
Microscopy
QH201-278.5
Descriptive and experimental mechanics
QC120-168.85
Online Access:https://doaj.org/article/dabce3d480a0455ab7fca02c5adfefee
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