Startseite Technik A new hybrid Harris hawks-Nelder-Mead optimization algorithm for solving design and manufacturing problems
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A new hybrid Harris hawks-Nelder-Mead optimization algorithm for solving design and manufacturing problems

  • Ali Rıza Yıldız , Betül Sultan Yıldız , Sadiq M. Sait , Sujin Bureerat und Nantiwat Pholdee
Veröffentlicht/Copyright: 27. Juli 2019
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Materials Testing
Aus der Zeitschrift Materials Testing Band 61 Heft 8

Abstract

In this paper, a novel hybrid optimization algorithm (H-HHONM) which combines the Nelder-Mead local search algorithm with the Harris hawks optimization algorithm is proposed for solving real-world optimization problems. This paper is the first research study in which both the Harris hawks optimization algorithm and the H-HHONM are applied for the optimization of process parameters in milling operations. The H-HHONM is evaluated using well-known benchmark problems such as the three-bar truss problem, cantilever beam problem, and welded beam problem. Finally, a milling manufacturing optimization problem is solved for investigating the performance of the H-HHONM. Additionally, the salp swarm algorithm is used to solve the milling problem. The results of the H-HHONM for design and manufacturing problems solved in this paper are compared with other optimization algorithms presented in the literature such as the ant colony algorithm, genetic algorithm, particle swarm optimization algorithm, simulated annealing algorithm, artificial bee colony algorithm, teaching learning-based optimization algorithm, cuckoo search algorithm, multi-verse optimization algorithm, Harris hawks optimization optimization algorithm, gravitational search algorithm, ant lion optimizer, moth-flame optimization algorithm, symbiotic organisms search algorithm, and mine blast algorithm. The results show that H-HHONM is an effective optimization approach for optimizing both design and manufacturing optimization problems.

∗ 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 a 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 presented 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, he was awarded the TUBITAK Incentive Award, presented to scientists under the age of 40 who have proven they have the necessary qualifications to contribute to science in the future at an international level. 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 is serving as an associate editor for the Journal of Expert Systems.

Dr. Betül 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 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.

Sujin Bureerat received his BEng degree in Mechanical Engineering from Khon Kaen University, Khon Kaen, Thailand, in 1992, and his PhD degree in Engineering from Manchester University, Manchester, UK, in 2001. Currently, he is a Professor with the Department of Mechanical Engineering, Khon Kaen University. His research interests include multidisciplinary design optimization, evolutionary computation, aircraft design, finite-element analysis, agricultural machinery, mechanism synthesis, and mechanical vibration.

Nantiwat Pholdee received his BEng degree (Second Class Honors) in Mechanical Engineering in 2008 and his PhD degree in Mechanical Engineering in 2013 from Khon Kaen University, Khon Kaen, Thailand. His research interests include multidisciplinary design optimization, aircraft design, flight control, evolutionary computation and finite-element analysis.

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

© 2019, Carl Hanser Verlag, München

Artikel in diesem Heft

  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/10.3139/120.111378

Artikel in diesem Heft

  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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