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A new enhanced mountain gazelle optimizer and artificial neural network for global optimization of mechanical design problems

  • Pranav Mehta

    Mr. Pranav Mehta is an Assistant Professor at the Department of Mechanical Engineering, Dharmsinh Desai University, Nadiad-387001, Gujarat, India. He is currently a PhD research scholar with the Dharmsinh Desai University, Nadiad, Gujarat, India. His major research interests are metaheuristics techniques, multi-objective optimization, solar-thermal technologies, and renewable energy.

         , Sadiq M. Sait

    Dr. Sadiq M. Sait received his Bachelor’s degree in Electronics Engineering from Bangalore University, India, in 1981, and his Master’s and PhD degrees in Electrical Engineering from the King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, in 1983 and 1987, respectively. He is currently a Professor of Computer Engineering and Director of the Center for Communications and IT Research, KFUPM, Dhahran, Saudi Arabia.

         , Betül Sultan Yıldız

    Dr. Betül Sultan Yıldız is an Associate professor in the Department of Mechanical Engineering at Bursa Uludağ University, Bursa, Turkey. Her research interests are mechanical design, structural optimization methods, and meta-heuristic optimization algorithms.

         , Mehmet Umut Erdaş

    Mehmet Umut Erdaş received his BSc degree from the Department of Automotive Engineering of Bursa Uludag University. In 2017, he was continuing his doctoral education at Uludağ University Automotive Engineering Department within the scope of the YOK 100/2000 and TUBITAK 2211 programs. He has been working on finite element analysis of structural components, shape and topology optimization, vehicle crashworthiness, artificial intelligence optimization, and additive manufacturing technologies.

         , Mehmet Kopar

    Mehmet Kopar received his BSc and MSc degrees from the Department of Automotive Engineering of Fırat University. In February 2021, he was continuing his doctoral education at Uludağ University Automotive Engineering Department within the scope of the 2244 Industry Supported Program of the Scientific and Technical Research Council of Turkey (TUBITAK). He has been working on composite materials, artificial intelligence optimization, and additive manufacturing technologies.

         and Ali Rıza Yıldız

    Dr. Ali Rıza Yıldız is a Professor in the Department of Mechanical Engineering, Bursa Uludağ University, Bursa, Turkey. His research interests are the finite element analysis of structural components, lightweight design, vehicle design, vehicle crashworthiness, shape and topology optimization of vehicle components, meta-heuristic optimization techniques, and additive manufacturing.

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Published/Copyright: January 24, 2024
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Materials Testing
From the journal Materials Testing Volume 66 Issue 4

Abstract

Nature-inspired metaheuristic optimization algorithms have many applications and are more often studied than conventional optimization techniques. This article uses the mountain gazelle optimizer, a recently created algorithm, and artificial neural network to optimize mechanical components in relation to vehicle component optimization. The family formation, territory-building, and food-finding strategies of mountain gazelles serve as the major inspirations for the algorithm. In order to optimize various engineering challenges, the base algorithm (MGO) is hybridized with the Nelder–Mead algorithm (HMGO-NM) in the current work. This considered algorithm was applied to solve four different categories, namely automobile, manufacturing, construction, and mechanical engineering optimization tasks. Moreover, the obtained results are compared in terms of statistics with well-known algorithms. The results and findings show the dominance of the studied algorithm over the rest of the optimizers. This being said the HMGO algorithm can be applied to a common range of applications in various industrial and real-world problems.

Keywords: mountain gazelle algorithm; optimization; mechanical design problems; Nelder–Mead algorithm; automobile component; artificial neural network
Corresponding author: Ali Rıza Yıldız, Department of Mechanical Engineering, Bursa Uludag Universitesi, Bursa, 16059, Türkiye, E-mail:

About the authors

Pranav Mehta

Mr. Pranav Mehta is an Assistant Professor at the Department of Mechanical Engineering, Dharmsinh Desai University, Nadiad-387001, Gujarat, India. He is currently a PhD research scholar with the Dharmsinh Desai University, Nadiad, Gujarat, India. His major research interests are metaheuristics techniques, multi-objective optimization, solar-thermal technologies, and renewable energy.

Sadiq M. Sait

Dr. Sadiq M. Sait received his Bachelor’s degree in Electronics Engineering from Bangalore University, India, in 1981, and his Master’s and PhD degrees in Electrical Engineering from the King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, in 1983 and 1987, respectively. He is currently a Professor of Computer Engineering and Director of the Center for Communications and IT Research, KFUPM, Dhahran, Saudi Arabia.

Betül Sultan Yıldız

Dr. Betül Sultan Yıldız is an Associate professor in the Department of Mechanical Engineering at Bursa Uludağ University, Bursa, Turkey. Her research interests are mechanical design, structural optimization methods, and meta-heuristic optimization algorithms.

Mehmet Umut Erdaş

Mehmet Umut Erdaş received his BSc degree from the Department of Automotive Engineering of Bursa Uludag University. In 2017, he was continuing his doctoral education at Uludağ University Automotive Engineering Department within the scope of the YOK 100/2000 and TUBITAK 2211 programs. He has been working on finite element analysis of structural components, shape and topology optimization, vehicle crashworthiness, artificial intelligence optimization, and additive manufacturing technologies.

Mehmet Kopar

Mehmet Kopar received his BSc and MSc degrees from the Department of Automotive Engineering of Fırat University. In February 2021, he was continuing his doctoral education at Uludağ University Automotive Engineering Department within the scope of the 2244 Industry Supported Program of the Scientific and Technical Research Council of Turkey (TUBITAK). He has been working on composite materials, artificial intelligence optimization, and additive manufacturing technologies.

Ali Rıza Yıldız

Dr. Ali Rıza Yıldız is a Professor in the Department of Mechanical Engineering, Bursa Uludağ University, Bursa, Turkey. His research interests are the finite element analysis of structural components, lightweight design, vehicle design, vehicle crashworthiness, shape and topology optimization of vehicle components, meta-heuristic optimization techniques, and additive manufacturing.

  1. Research ethics: Not applicable.

  2. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: The authors state no conflict of interest.

  4. Research funding: None declared.

  5. Data availability: Not applicable.

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Published Online: 2024-01-24
Published in Print: 2024-04-25

© 2024 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Strain-life behavior of thick-walled nodular cast iron
  3. A novel bearing fault detection approach using a convolutional neural network
  4. Improved Gx40CrNi25-20 grade austenitic stainless steel
  5. Enhanced strength of (CoFeNiMn)100−xCrx (x = 5, 20, 35 at.%) high entropy alloys via formation of carbide phases produced from industrial-grade raw materials
  6. Modeling of thrust force and torque in drilling aluminum 7050
  7. Construction of amidinothiourea crosslinked graphene oxide membrane by multilayer self-assembly for efficient removal of heavy metal ions
  8. Effect of tool rotational speed on friction stir spot welds of AZ31B Mg alloy to AISI 304 stainless steel
  9. A new enhanced mountain gazelle optimizer and artificial neural network for global optimization of mechanical design problems
  10. Effect of particle volume fraction on wear behavior in Al–SiC MMC coated on DIN AlZnMgCu1.5 alloy
  11. Processing, microstructural characterization, and mechanical properties of deep cryogenically treated steels and alloys – overview
  12. Experimental and numerical investigation of patch effect on the bending behavior for hat-shaped carbon fiber composite beams
  13. Influence of water on microstructure and mechanical properties of a friction stir spot welded 7075-T651 Al alloy
  14. Effect of copper powder addition on the product quality of sintered stainless steels
  15. Mechanical and thermal properties of short banana fiber reinforced polyoxymethylene composite materials dependent on alkali treatment
https://doi.org/10.1515/mt-2023-0332
Keywords for this article
mountain gazelle algorithm; optimization; mechanical design problems; Nelder–Mead algorithm; automobile component; artificial neural network

Articles in the same Issue

  1. Frontmatter
  2. Strain-life behavior of thick-walled nodular cast iron
  3. A novel bearing fault detection approach using a convolutional neural network
  4. Improved Gx40CrNi25-20 grade austenitic stainless steel
  5. Enhanced strength of (CoFeNiMn)100−xCrx (x = 5, 20, 35 at.%) high entropy alloys via formation of carbide phases produced from industrial-grade raw materials
  6. Modeling of thrust force and torque in drilling aluminum 7050
  7. Construction of amidinothiourea crosslinked graphene oxide membrane by multilayer self-assembly for efficient removal of heavy metal ions
  8. Effect of tool rotational speed on friction stir spot welds of AZ31B Mg alloy to AISI 304 stainless steel
  9. A new enhanced mountain gazelle optimizer and artificial neural network for global optimization of mechanical design problems
  10. Effect of particle volume fraction on wear behavior in Al–SiC MMC coated on DIN AlZnMgCu1.5 alloy
  11. Processing, microstructural characterization, and mechanical properties of deep cryogenically treated steels and alloys – overview
  12. Experimental and numerical investigation of patch effect on the bending behavior for hat-shaped carbon fiber composite beams
  13. Influence of water on microstructure and mechanical properties of a friction stir spot welded 7075-T651 Al alloy
  14. Effect of copper powder addition on the product quality of sintered stainless steels
  15. Mechanical and thermal properties of short banana fiber reinforced polyoxymethylene composite materials dependent on alkali treatment
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