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Optimization of constrained mechanical design problems using the equilibrium optimization algorithm

  • Hammoudi Abderazek

    Dr. Hammoudi Abderazek received his Ph.D. in Mechanical Engineering from the Institute of Optics and Precision Mechanics, Setif -1- University, Algeria. His research interests include multidisciplinary design optimization and metaheuristic optimization techniques. Dr. Abderazek has been working at the Mechanical Research Center (CRM), Constantine, Algeria.

    , Ali Riza Yildiz

    Dr. Ali Rıza Yıldız is a Professor in the Department of Automotive Engineering, Bursa Uludağ University, Bursa, Turkey. His research interests are the finite element analysis of automobile components, lightweight design, composite materials, vehicle design, vehicle crashworthiness, shape and topology optimization of vehicle components, meta-heuristic optimization techniques, and sheet metal forming. He has been serving as an Associate Editor for the Journal of Expert Systems, Wiley.

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    and 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 IT Research, KFUPM, Dhahran, Saudi Arabia. He is a Senior Member of the IEEE. In 1981, he received the Best Electronic Engineer Award from the Indian Institute of Electrical Engineers, Bengaluru.

From the journal Materials Testing

Abstract

In this work, the optimization of structural and mechanical problems is carried out using the equilibrium optimizer (EO), which is a recent physical-based algorithm.The the ten-bar planar truss structure, planetary gearbox, hydrostatic thrust bearing, and robot gripper mechanism problems are solved using the EO algorithm. The results achieved using the EO in solving these problems are compared with those of recent algorithms. The computational results show that EO yields better outcomes and competitive results that can also be applied for the other problems studied.


Prof. Dr. Ali Rıza Yıldız Department of Automotive Engineering Uludağ University Görükle, Bursa, Turkey

About the authors

Dr. Hammoudi Abderazek

Dr. Hammoudi Abderazek received his Ph.D. in Mechanical Engineering from the Institute of Optics and Precision Mechanics, Setif -1- University, Algeria. His research interests include multidisciplinary design optimization and metaheuristic optimization techniques. Dr. Abderazek has been working at the Mechanical Research Center (CRM), Constantine, Algeria.

Prof. Dr. Ali Riza Yildiz

Dr. Ali Rıza Yıldız is a Professor in the Department of Automotive Engineering, Bursa Uludağ University, Bursa, Turkey. His research interests are the finite element analysis of automobile components, lightweight design, composite materials, vehicle design, vehicle crashworthiness, shape and topology optimization of vehicle components, meta-heuristic optimization techniques, and sheet metal forming. He has been serving as an Associate Editor for the Journal of Expert Systems, Wiley.

Dr. 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 IT Research, KFUPM, Dhahran, Saudi Arabia. He is a Senior Member of the IEEE. In 1981, he received the Best Electronic Engineer Award from the Indian Institute of Electrical Engineers, Bengaluru.

Acknowledgment

The authors express their gratitude to Bursa Uludağ University, Bursa, Turkey, and King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia, for support in this research.

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Published Online: 2021-06-30
Published in Print: 2021-06-30

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