Startseite A novel chaotic artificial rabbits algorithm for optimization of constrained engineering problems
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A novel chaotic artificial rabbits algorithm for optimization of constrained engineering problems

  • Erhan Duzgun

    Erhan Duzgun is a mechanical engineer, MSc, and PhD student in the Mechanical Engineering Department in Graduate School of Engineering and Science at TOBB University of Economics and Technology (TOBB ETU), Ankara, Turkey. His research interests are optimization, meta-heuristic optimization algorithms, shape and topology optimization of vehicle components and mechanical design.

    , Erdem Acar

    Dr. Erdem Acar is a professor in the Mechanical Engineering Department at TOBB University of Economics and Technology, Ankara, Turkey. His research interests include design optimization, design of automobile and aircraft structures (in particular, composite structures), finite element analysis, ballistic simulations, and uncertainty analysis. He is an associate fellow of the American Institute of Aeronautics and Astronautics, and he has been serving as a review editor for the Structural and Multidisciplinary Optimization Journal, Springer, since 2017.

    und 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.

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Veröffentlicht/Copyright: 28. Mai 2024
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Abstract

This study introduces a novel metaheuristic algorithm of optimization named Chaotic Artificial Rabbits Optimization (CARO) algorithm for resolving engineering design problems. In the newly introduced CARO algorithm, ten different chaotic maps are used with the recently presented Artificial Rabbits Optimization (ARO) algorithm to manage its parameters, eventually leading to an improved exploration and exploitation of the search. The CARO algorithm and familiar metaheuristic competitor algorithms were experimented on renowned five mechanical engineering problems of design, in brief; pressure vessel design, rolling element bearing design, tension/compression spring design, cantilever beam design and gear train design. The results indicate that the CARO is an outstanding algorithm compared with the familiar metaheuristic algorithms, and equipped with the best-optimized parameters with the minimal deviation in each case study. Metaheuristic algorithms are utilized to succeed in an optimal design in engineering problems targeting to achieve lightweight designs. In this present study, the optimum design of a vehicle brake pedal piece was achieved through topology and shape optimization methods. The brake pedal optimization problem in terms of the mass minimization is solved properly by using the CARO algorithm in comparison to familiar metaheuristic algorithms in the literature. Consequently, results indicate that the CARO algorithm can be effectively utilized in the optimal design of engineering problems.


Corresponding author: Ali Riza Yildiz, Department of Mechanical Engineering, 37523 Bursa Uludag University , Görükle, Bursa, 16059, Türkiye, E-mail:

About the authors

Erhan Duzgun

Erhan Duzgun is a mechanical engineer, MSc, and PhD student in the Mechanical Engineering Department in Graduate School of Engineering and Science at TOBB University of Economics and Technology (TOBB ETU), Ankara, Turkey. His research interests are optimization, meta-heuristic optimization algorithms, shape and topology optimization of vehicle components and mechanical design.

Erdem Acar

Dr. Erdem Acar is a professor in the Mechanical Engineering Department at TOBB University of Economics and Technology, Ankara, Turkey. His research interests include design optimization, design of automobile and aircraft structures (in particular, composite structures), finite element analysis, ballistic simulations, and uncertainty analysis. He is an associate fellow of the American Institute of Aeronautics and Astronautics, and he has been serving as a review editor for the Structural and Multidisciplinary Optimization Journal, Springer, since 2017.

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.

  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: 2024-05-28
Published in Print: 2024-09-25

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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