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The Harris hawks, grasshopper and multi-verse optimization algorithms for the selection of optimal machining parameters in manufacturing operations

  • Ali Rıza Yıldız , Betul Sultan Yıldız , Sadiq M. Sait and Xinyu Li
Published/Copyright: July 27, 2019
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Materials Testing
From the journal Materials Testing Volume 61 Issue 8

Abstract

In this research, the Harris hawks optimization algorithm (HHO), the grasshopper optimization algorithm (GOA) and the multi-verse optimization algorithm (MVO) have been used in solving manufacturing optimization problems. This paper is the first research study for the optimization of processing parameters for manufacturing processes using the HHO, the GOA, and the MVO in the literature, and in particular, for grinding operations. A well-known grinding optimization problem is solved to prove how effective the HHO, the GOA and the MVO are in solving manufacturing problems and to demonstrate superiority over other algorithms. The results of the HHO, the GOA and the MVO are compared with other methods such as the genetic algorithm, the ant colony algorithm, the scatter search, the differential evolution algorithm, the particle swarm optimization algorithm, simulated annealing, the artificial bee colony, harmony search, improved differential evolution, the hybrid particle swarm algorithm, teaching learning-based optimization algorithms, the cuckoo search, and the fractal search algorithm. The results show that the HHO, the GOA, and the MVO are efficient optimization approaches for obtaining optimal manufacturing variables in manufacturing operations.

∗ Correspondence Address, Prof. Dr. Ali Rıza Yıldız, Department of Automotive Engineering, Uludağ University, Görükle, Bursa, Turkey, E-mail:

Dr. Ali Rıza Yıldız is a Professor in the Department of Automotive Engineering, Uludağ University, Bursa, Turkey. He worked in the field of multi-component topology optimization of structures as Research Associate at the University of Michigan, Ann Arbor, USA. Furthermore, he worked on NSF and DOE-funded research projects at the Center for Advanced Vehicular Systems (CAVS), Mississippi State University, Starkville, USA. In 2015, he was a winner of TÜBA-GEBİP Young Scientist Outstanding Achievement Award endowed by the Turkish Academy of Sciences (TÜBA). He also received the METU (Middle East Technical University) Prof. Mustafa N. Parlar Foundation Research Incentive Award in 2015. In 2017, the TUBITAK Incentive Award, given to scientists under the age of 40 who have been proved to have the necessary qualifications to contribute to science in the future at an international level, was given to Professor Dr. Ali Rıza Yildiz. 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 a technical consultant to R&D projects of industrial companies. He is serving as an associate editor of the Journal of Expert Systems.

Dr. Betul Sultan Yıldız received her Ph.D. in Mechanical Engineering from Bursa Technical University, Turkey. She is an expert on optimum design and metaheuristic optimization algorithms.

Dr. Sadiq M. Sait sreceived 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), 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.

Dr. Xinyu Li is Associate Professor in the Department of Industrial & Manufacturing System Engineering, Huazhong University of Science & Technology, Huazhong, China. His research interests are meta-heuristic optimization techniques and machine learning. He is involved in a number of projects from NSFC and industrial companies as Coordinator or Project Leader.

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Published Online: 2019-07-27
Published in Print: 2019-08-01

© 2019, Carl Hanser Verlag, München

Articles in the same Issue

  1. Inhalt/Contents
  2. Contents
  3. Fachbeiträge/Technical Contributions
  4. Effects of pre- and post-weld heat treatment conditions on microstructures of cast nickel based superalloys GTD-111 in the laser welding process
  5. Evaluation of the low-cycle fatigue strength of Sn3.0Ag0.5Cu solder at 313 and 353 K using a small specimen
  6. The Harris hawks, grasshopper and multi-verse optimization algorithms for the selection of optimal machining parameters in manufacturing operations
  7. A new hybrid Harris hawks-Nelder-Mead optimization algorithm for solving design and manufacturing problems
  8. The Harris hawks optimization algorithm, salp swarm algorithm, grasshopper optimization algorithm and dragonfly algorithm for structural design optimization of vehicle components
  9. Axial crushing behavior of circular aluminum tubes
  10. Effect of substrate surface preparation on cold sprayed Al-Zn-Al2O3 composite coating properties
  11. Top-down approach for the estimation of measurement uncertainty based on quality control data and grey system theory
  12. Hoop tensile and compression behavior of glass-carbon intraply hybrid fiber reinforced filament wound composite pipes
  13. Non-linear modeling of mechanical properties of plasma arc welded Inconel 617 plates
  14. Wear testing of in situ cast AA8011-TiB2 metal matrix composites
  15. Microstructure, mechanical properties and ELM based wear loss prediction of plasma sprayed ZrO2-MgO coatings on a magnesium alloy
  16. Energy consumption model for the pipe threading process using 10 wt.-% Cu and 316L stainless steel powder-reinforced aluminum 6061 fittings
  17. Effect of matrix material and orientation angle on tensile and tribological behavior of jute reinforced composites
https://doi.org/10.3139/120.111377

Articles in the same Issue

  1. Inhalt/Contents
  2. Contents
  3. Fachbeiträge/Technical Contributions
  4. Effects of pre- and post-weld heat treatment conditions on microstructures of cast nickel based superalloys GTD-111 in the laser welding process
  5. Evaluation of the low-cycle fatigue strength of Sn3.0Ag0.5Cu solder at 313 and 353 K using a small specimen
  6. The Harris hawks, grasshopper and multi-verse optimization algorithms for the selection of optimal machining parameters in manufacturing operations
  7. A new hybrid Harris hawks-Nelder-Mead optimization algorithm for solving design and manufacturing problems
  8. The Harris hawks optimization algorithm, salp swarm algorithm, grasshopper optimization algorithm and dragonfly algorithm for structural design optimization of vehicle components
  9. Axial crushing behavior of circular aluminum tubes
  10. Effect of substrate surface preparation on cold sprayed Al-Zn-Al2O3 composite coating properties
  11. Top-down approach for the estimation of measurement uncertainty based on quality control data and grey system theory
  12. Hoop tensile and compression behavior of glass-carbon intraply hybrid fiber reinforced filament wound composite pipes
  13. Non-linear modeling of mechanical properties of plasma arc welded Inconel 617 plates
  14. Wear testing of in situ cast AA8011-TiB2 metal matrix composites
  15. Microstructure, mechanical properties and ELM based wear loss prediction of plasma sprayed ZrO2-MgO coatings on a magnesium alloy
  16. Energy consumption model for the pipe threading process using 10 wt.-% Cu and 316L stainless steel powder-reinforced aluminum 6061 fittings
  17. Effect of matrix material and orientation angle on tensile and tribological behavior of jute reinforced composites
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