Authors: Abderazek, Hammoudi
Laouissi, Aissa
Nouioua, Mourad
Atanasovska, Ivana 
Affiliations: Mechanics 
Mathematical Institute of the Serbian Academy of Sciences and Arts 
Title: Optimization of turning process parameters using a new hybrid evolutionary algorithm
Journal: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
Volume: 238
Issue: 3
First page: 758
Last page: 768
Issue Date: 2023
Rank: M23
ISSN: 0954-4062
DOI: 10.1177/09544062231195472
Abstract: 
In this article, a new hybrid improved differential evolution and Nelder-Mead (IDE-NM) is introduced for optimizing the multi-objective machining process during the turning operation under three modes of lubrication conditions. The fitness functions are the tangential cutting force, the surface roughness, and the cutting power. Five mixed design variables are considered in the optimization procedu...
Keywords: differential evolution | eco-friendly machining | meta-heuristics | Multi-objective optimization | Nelder-Mead algorithm | turning
Publisher: SAGE, UK
Project: A part of the research has been supported by the Ministry of Education, Science and Technological Development of the Republic of Serbia, Grant number: 451-03-68/2022-14/20029.

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