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http://hdl.handle.net/11452/22430
Başlık: | A novel hybrid immune algorithm for global optimization in design and manufacturing |
Yazarlar: | Uludağ Üniversitesi/Mühendislik Fakültesi/Makine Mühendisliği Bölümü. 0000-0003-1790-6987 Yıldız, Ali Rıza F-7426-2011 7102365439 |
Anahtar kelimeler: | Immune algorithm Hill climbing Hybrid approach Milling operations Design optimization Genetic algorithm Machining parameters Selection System Operations Shape Tool Computer science Engineering Robotics Design Global optimization Industrial research Learning algorithms Machining centers Milling (machining) Hybrid approach Optimization |
Yayın Tarihi: | Nis-2009 |
Yayıncı: | Pergamon-Elsevier Science |
Atıf: | Yıldız, Ali R. (2009) "A novel hybrid immune algorithm for global optimization in design and manufacturing". Robotics and Computer - Integrated Manufacturing, 25(2), 261-270. |
Özet: | This paper presents a new hybrid optimization approach based on immune algorithm and hill climbing local search algorithm. The put-pose of the present research is to develop a new optimization approach for solving design and manufacturing optimization problems. This research is the first application of immune algorithm to the optimization of machining parameters in the literature. In order to evaluate the proposed optimization approach, single objective test problem, multi-objective 1-beam and machine-tool optimization problems taken from the literature are solved. Finally, the hybrid approach is applied to a case study for milling operations to show its effectiveness in machining operations. The results of the hybrid approach for the case Study are compared with those of genetic algorithm, the feasible direction method and handbook recommendation. |
URI: | https://doi.org/10.1016/j.rcim.2007.08.002 https://www.sciencedirect.com/science/article/pii/S0736584507000907 http://hdl.handle.net/11452/22430 |
ISSN: | 0736-5845 |
Koleksiyonlarda Görünür: | Scopus Web of Science |
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