Bu öğeden alıntı yapmak, öğeye bağlanmak için bu tanımlayıcıyı kullanınız: http://hdl.handle.net/11452/29602
Başlık: The Harris hawks optimization algorithm, salp swarm algorithm, grasshopper optimization algorithm and dragonfly algorithm for structural design optimization of vehicle components
Yazarlar: Bursa Uludağ üniversitesi/Mühendislik Fakültesi/Makine Mühendisliği Bölümü.
0000-0001-7592-8733
0000-0003-1790-6987
Yıldız, Betül Sultan
Yıldız, Ali Rıza
AAH-6495-2019
AAL-9234-2020
F-7426-2011
57094682600
7102365439
Anahtar kelimeler: Harris hawks algorithm
Salp swarm algorithm
Grasshopper optimization algorithm
Dragonfly algorithm
Structural optimization
Optimal machining parameters
Multiobjective optimization
Gravitational search
Genetic algorithm
Immune algorithm
Topology desing
Hybrid approach
Taguchis method
Optimum design
Water cycle
Automotive industry
Structural design
Structural optimization
Vehicles
Low costs
Optimization algorithms
Salp swarms
Shape designs
Shape optimization problem
Structural design optimization
Vehicle brakes
Vehicle components
Shape optimization
Yayın Tarihi: Ağu-2019
Yayıncı: Walter de Gruyter
Atıf: Yıldız, B. S. ve Yıldız A. R. (2019). ''The Harris hawks optimization algorithm, salp swarm algorithm, grasshopper optimization algorithm and dragonfly algorithm for structural design optimization of vehicle components''. Materials Testing, 61(8), 744-748
Özet: There is a growing interest in designing lightweight and low-cost vehicles. In this research, the Harris hawks optimization algorithm (the HHO), the salp swarm algorithm (SSA), the grasshopper optimization algorithm(GOA), and the dragonfly algorithm (DA) are introduced to solve shape optimization problems in the automotive industry. This research is the first application of the HHO, the SSA, the GOA, and the DA to shape design optimization problems in the literature. In this paper, the HHO, the SSA, and the DA algorithms are used for shape optimization of a vehicle brake pedal to prove how the HHO, the SSA, the GOA, and the DA can be used for solving shape optimization problems. The results show the ability of the HHO, the SSA, the GOA, and the DA to design better optimal components.
URI: https://doi.org/10.3139/120.111379
https://www.degruyter.com/document/doi/10.3139/120.111379/html
http://hdl.handle.net/11452/29602
ISSN: 0025-5300
Koleksiyonlarda Görünür:Scopus
Web of Science

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