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Optimization of vehicle conceptual design problems using an enhanced hunger games search algorithm

  • Pranav Mehta

    Pranav Mehta is an Assistant Professor at the Department of Mechanical Engineering, Dharmsinh Desai University, Nadiad-387001, Gujarat, India. He is currently a Ph.D. research scholar with the Dharmsinh Desai University, Nadiad, Gujarat, India. His major research interest includes metaheuristics techniques, multiobjective optimization, solar-thermal technologies, and renewable energy.

         , Natee Panagant

    Natee Panagant received a B.Eng. in Mechanical Engineering from Chulalongkorn University, Bangkok, Thailand, M.Eng. and Ph.D. in Mechanical Engineering from Khon Kaen University, Khon Kaen, Thailand. Currently, he is a lecturer at the Department of Mechanical Engineering, Khon Kaen University. His research interests include multidisciplinary design optimization, evolutionary computation, and finite element analysis.

         , Kittinan Wansasueb

    Kittinan Wansasueb is a professor at Department of Mechanical Engineering, Faculty of Engineering, Mahasarakham University. His research interests include multidisciplinary design optimization, evolutionary computation, and finite element analysis.

         , 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 Ph.D. 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 I.T. Research, KFUPM, Dhahran, Saudi Arabia.

         , Ali Riza Yildiz

    Dr. Ali Riza Yildiz 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.

     EMAIL logo     , Sumit Kumar

    Sumit Kumar received the B.E. degree (Hons.) in mechanical engineering from Dr. A.P.J. Abdul Kalam Technical University, Lucknow, India, in 2012, and the M.E. degree (Hons.) in design engineering from the Malaviya National Institute of Technology (NIT), Jaipur, India, in 2015. He is currently a Ph.D. Research Scholar with the College of Sciences and Engineering, Australian Maritime College, University of Tasmania, Launceston, Australia. He has more than six years of teaching experience. He has published technical articles in various national/international peer-reviewed journals such as Knowledge-Based Systems (Elsevier), Expert Systems With Applications (Elsevier), Engineering With Computers (Springer), and Archives of Computational Methods in Engineering (Springer). His major research interests include metaheuristics techniques, multiobjective optimization, evolutionary algorithm, and renewable energy systems. He is a member of many professional bodies like ISHRAE. He has received numerous awards and grants. He is serving as a Reviewer for leading journals such as Elsevier and Springer.

         , Betul Sultan Yildiz

    Dr. Betul Sultan Yildiz is an Associate Professor at Bursa Uludağ University, Bursa, Turkey. Dr. Betül Sultan Yıldız completed her BSc and MSc degrees at Uludağ University, Bursa, Turkey, and received her Ph.D. in Mechanical Engineering from Bursa Technical University, Turkey. Her research interests are optimal design, shape optimization, topology optimization, topography optimization, structural optimization methods, meta-heuristic optimization algorithms, and applications to industrial problems.

         and Abdelazim G. Hussien

    Abdelazim G. Hussien is a teaching assistant at Department of Mathematics, Faculty of Science, Fayoum University. He received his B.Sc. with honors in 2013 and M.Sc. degree in 2018, both from Menoufia University, Faculty of Science, Pure Mathematics and Computer Science Department, Egypt. Abdelazim is a member of Scientic Research Group in Egypt (SRGE) http://egyptscience.net/. His research interests include soft computing, Intelligent System, optimization, metaheuristics and their application in Cheminformatics and chemical information.
Published/Copyright: October 15, 2024
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Materials Testing
From the journal Materials Testing Volume 66 Issue 11

Abstract

Electric vehicles have become a standard means of transportation in the last 10 years. This paper aims to formalize design optimization problems for electric vehicle components. It presents a tool conceptual design technique with a hunger games search optimizer that incorporates dynamic adversary-based learning and diversity leader (referred to as HGS-DOL-DIL) to overcome the local optimum trap and low convergence rate limitations of the Hunger Games search algorithm to improve the convergence rate. The performance of the proposed algorithms is studied on six widely used engineering design problems, complex constraints, and discrete variables. For the HGS-DOL-DIL practical feasibility analysis, a case study of shape optimization of an electric car suspension arm from the industry is carried out. Overall, the inclusion of the OL strategy has proven its superiority in solving real-world problems, especially in solving real-world problems such as shape optimization of an electric vehicle automobile suspension arm, showing that the algorithm improves the search space improves the solution quality, and reflects its potential to find global optimum solutions in a well-balanced exploration and exploitation phase.

Keywords: metaheuristic; dynamic opposite learning; hunger games search; global optimization; engineering design
Corresponding author: Ali Riza Yildiz, Department of Mechanical Engineering, Bursa Uludağ University, Bursa, Türkiye, E-mail:

About the authors

Pranav Mehta

Pranav Mehta is an Assistant Professor at the Department of Mechanical Engineering, Dharmsinh Desai University, Nadiad-387001, Gujarat, India. He is currently a Ph.D. research scholar with the Dharmsinh Desai University, Nadiad, Gujarat, India. His major research interest includes metaheuristics techniques, multiobjective optimization, solar-thermal technologies, and renewable energy.

Natee Panagant

Natee Panagant received a B.Eng. in Mechanical Engineering from Chulalongkorn University, Bangkok, Thailand, M.Eng. and Ph.D. in Mechanical Engineering from Khon Kaen University, Khon Kaen, Thailand. Currently, he is a lecturer at the Department of Mechanical Engineering, Khon Kaen University. His research interests include multidisciplinary design optimization, evolutionary computation, and finite element analysis.

Kittinan Wansasueb

Kittinan Wansasueb is a professor at Department of Mechanical Engineering, Faculty of Engineering, Mahasarakham University. His research interests include multidisciplinary design optimization, evolutionary computation, and finite element analysis.

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 Ph.D. 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 I.T. Research, KFUPM, Dhahran, Saudi Arabia.

Ali Riza Yildiz

Dr. Ali Riza Yildiz 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.

Sumit Kumar

Sumit Kumar received the B.E. degree (Hons.) in mechanical engineering from Dr. A.P.J. Abdul Kalam Technical University, Lucknow, India, in 2012, and the M.E. degree (Hons.) in design engineering from the Malaviya National Institute of Technology (NIT), Jaipur, India, in 2015. He is currently a Ph.D. Research Scholar with the College of Sciences and Engineering, Australian Maritime College, University of Tasmania, Launceston, Australia. He has more than six years of teaching experience. He has published technical articles in various national/international peer-reviewed journals such as Knowledge-Based Systems (Elsevier), Expert Systems With Applications (Elsevier), Engineering With Computers (Springer), and Archives of Computational Methods in Engineering (Springer). His major research interests include metaheuristics techniques, multiobjective optimization, evolutionary algorithm, and renewable energy systems. He is a member of many professional bodies like ISHRAE. He has received numerous awards and grants. He is serving as a Reviewer for leading journals such as Elsevier and Springer.

Betul Sultan Yildiz

Dr. Betul Sultan Yildiz is an Associate Professor at Bursa Uludağ University, Bursa, Turkey. Dr. Betül Sultan Yıldız completed her BSc and MSc degrees at Uludağ University, Bursa, Turkey, and received her Ph.D. in Mechanical Engineering from Bursa Technical University, Turkey. Her research interests are optimal design, shape optimization, topology optimization, topography optimization, structural optimization methods, meta-heuristic optimization algorithms, and applications to industrial problems.

Abdelazim G. Hussien

Abdelazim G. Hussien is a teaching assistant at Department of Mathematics, Faculty of Science, Fayoum University. He received his B.Sc. with honors in 2013 and M.Sc. degree in 2018, both from Menoufia University, Faculty of Science, Pure Mathematics and Computer Science Department, Egypt. Abdelazim is a member of Scientic Research Group in Egypt (SRGE) http://egyptscience.net/. His research interests include soft computing, Intelligent System, optimization, metaheuristics and their application in Cheminformatics and chemical information.

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

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

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

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Published Online: 2024-10-15
Published in Print: 2024-11-26

© 2024 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Crushing performance of an additively manufactured bio-inspired hybrid energy absorption profile
  3. Implant bone screw characteristics of a printed PLA-based material
  4. Effect of deformation on the mechanical property of reduced activation ferritic/martensitic steel refined by closed-dual equal channel angular pressing
  5. Effect of post-oxidation times in the nitrocarburizing process on the wear behavior of an AISI 4140 steel
  6. Production of (B4C+FeTi) reinforced and Fe based composites by mechanical alloying
  7. Tensile strength of friction stir additive manufactured laminated AA 6061/TiC/GS composites
  8. Microstructure evolution of AlSi10Mg alloy in RAP process
  9. Wear behaviour of titanium diboride and zirconium carbide reinforced LM13 hybrid composite for automotive applications
  10. Influence of post heat treatment on tribological and microstructural properties of plasma wire arc additive manufactured maraging steels
  11. Artificial neural network infused quasi oppositional learning partial reinforcement algorithm for structural design optimization of vehicle suspension components
  12. Optimization of vehicle conceptual design problems using an enhanced hunger games search algorithm
  13. Optimization of vehicle crashworthiness problems using recent twelve metaheuristic algorithms
  14. Development of zeolite 5A-incorporated polyvinyl alcohol membrane for desalination by pervaporation
  15. Characterization of bauxite residue filled sisal/glass fiber reinforced hybrid composites for structural applications
  16. Microstructure and mechanical properties of Al2O3/AZ61 Mg alloy surface composite developed using friction stir processing and groove reinforcement filling processes
  17. Method for the design and evaluation of binary sensitivity tests
https://doi.org/10.1515/mt-2024-0151
Keywords for this article
metaheuristic; dynamic opposite learning; hunger games search; global optimization; engineering design

Articles in the same Issue

  1. Frontmatter
  2. Crushing performance of an additively manufactured bio-inspired hybrid energy absorption profile
  3. Implant bone screw characteristics of a printed PLA-based material
  4. Effect of deformation on the mechanical property of reduced activation ferritic/martensitic steel refined by closed-dual equal channel angular pressing
  5. Effect of post-oxidation times in the nitrocarburizing process on the wear behavior of an AISI 4140 steel
  6. Production of (B4C+FeTi) reinforced and Fe based composites by mechanical alloying
  7. Tensile strength of friction stir additive manufactured laminated AA 6061/TiC/GS composites
  8. Microstructure evolution of AlSi10Mg alloy in RAP process
  9. Wear behaviour of titanium diboride and zirconium carbide reinforced LM13 hybrid composite for automotive applications
  10. Influence of post heat treatment on tribological and microstructural properties of plasma wire arc additive manufactured maraging steels
  11. Artificial neural network infused quasi oppositional learning partial reinforcement algorithm for structural design optimization of vehicle suspension components
  12. Optimization of vehicle conceptual design problems using an enhanced hunger games search algorithm
  13. Optimization of vehicle crashworthiness problems using recent twelve metaheuristic algorithms
  14. Development of zeolite 5A-incorporated polyvinyl alcohol membrane for desalination by pervaporation
  15. Characterization of bauxite residue filled sisal/glass fiber reinforced hybrid composites for structural applications
  16. Microstructure and mechanical properties of Al2O3/AZ61 Mg alloy surface composite developed using friction stir processing and groove reinforcement filling processes
  17. Method for the design and evaluation of binary sensitivity tests
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