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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Autores principales:	Mahalingam Siva Kumar, Devaraj Rajamani, Emad Abouel Nasr, Esakki Balasubramanian, Hussein Mohamed, Antonello Astarita
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	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
Acceso en línea:	https://doaj.org/article/dabce3d480a0455ab7fca02c5adfefee
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A Hybrid Approach of ANFIS—Artificial Bee Colony Algorithm for Intelligent Modeling and Optimization of Plasma Arc Cutting on Monel™ 400 Alloy

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