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Başlık: Hybrid Taguchi-harmony search algorithm for solving engineering optimization problems
Yazarlar: Uludağ Üniversitesi/Mühendislik Fakültesi/Makine Mühendisliği Bölümü.
0000-0003-1790-6987
Yıldız, Ali Rıza
F-7426-2011
7102365439
Anahtar kelimeler: Mulipass turning operations
Genetic algorithm
Machining conditions
Topology design
Shape optimization
Parameters
Harmony search algorithm
Design optimization
Taguchi method
Turning
Milling (machining)
Learning algorithms
Research
Engineering design
Engineering optimization problems
Feasible direction methods
Harmony search algorithms
Hybrid genetic algorithms
Optimization approach
Optimization problems
Research communities
Scatter search algorithm
Taguchi
Design
Engineering
Yayın Tarihi: Eyl-2008
Yayıncı: University of Cincinnati Industrial Engineering
Atıf: Yıldız, A. R. (2008). '' Hybrid Taguchi-harmony dearch algorithm for solving engineering optimization problems''. International Journal of Industrial Ergineering-Theory Applications and Practice, 15(3), 286-293.
Özet: Harmony search algorithms have recently gained a lot of attention from the optimization research community. In this paper, an improved harmony search algorithm is introduced to solve engineering optimization problems. To demonstrate the effectiveness and robustness of the proposed approach, it is applied to an engineering design and manufacturing optimization problem taken from the literature. The results obtained by the new hybrid harmony search approach for the case studies are compared with a hybrid genetic algorithm, scatter search algorithm, genetic algorithm, and feasible direction method and handbook recommendation. The results of case studies show that the proposed optimization approach is highly competitive and that can be considered a viable alternative to solve design and manufacturing optimization problems. Significance: This paper presents a novel hybrid algorithm based on harmony search algorithm and Taguchi method. The new approach is applied to the case studies for turning and milling and design optimization problems.
URI: http://hdl.handle.net/11452/22519
ISSN: 1943-670X
Koleksiyonlarda Görünür:Scopus
Web of Science

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