Authors: Abderazek, Hammoudi
Laouissi, Aissa
Nouioua, Mourad
Atanasovska, Ivana 
Affiliations: Mechanics 
Mathematical Institute of the Serbian Academy of Sciences and Arts 
Title: An Efficient Hybrid Metaheuristic Algorithm ReDe-NM for Solving Industrial Optimization Problems
Volume: 2
First page: 3
Last page: 5
Related Publication(s): Scientific Book of Abstracts
Conference: 9th International Scientific Conference on Advances in Mechanical Engineering, November 9-10, 2023, Debrecen, Hungary
Issue Date: 2023
Rank: M34
DOI: 10.4028/b-KB8tK1
To address the pressing demand for effective solutions to complex optimization challenges,
researchers have increasingly focused on pioneering novel methodologies. In this study, a novel
hybrid optimization approach termed 'Roulette Wheel Selection and Nelder-Mead-based Improved
Differential Evolution' (ReDE-NM) is introduced to optimize real-world industrial problems.
Initially, the proposed method is validated by applying it to tackle two mechanical engineering design
problems. Subsequently, we compare the optimization results obtained with ReDE-NM against those
achieved by state-of-the-art methods featured in the existing literature. Our findings reveal that the
proposed method demonstrates rapid convergence and outperforms most benchmark problems in
terms of solution quality and computational efficiency. Moreover, ReDE-NM is applied to fine-tune
crucial cutting parameters during the turning operation of X210Cr12 steel, leveraging a multilayer-coated carbide insert (GC-4215). The fitness functions are derived for tangential cutting force, and
surface roughness, with mathematical expressions for these objectives generated using the Response
Surface Methodology (RSM).
Keywords: Metaheuristic Algorithm | Nelder-Mead | Multi-Objective Optimization | Eco-Friendly Machining | Turning
Publisher: Trans Tech Publications Ltd, Switzerland

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