Please use this identifier to cite or link to this item:
http://hdl.handle.net/11452/22478
Title: | Hybrid immune-simulated annealing algorithm for optimal design and manufacturing |
Authors: | Uludağ Üniversitesi/Mühendislik Fakültesi/Makine Mühendisliği Bölümü. 0000-0003-1790-6987 Yıldız, Ali Rıza F-7426-2011 7102365439 |
Keywords: | Simulated annealing Design optimisation Turning Genetic algorithm Topology design Machining conditions Shape optimization Turning operations Materials science Automotive industry Manufacture Optimal systems Turning Immune algorithms Multi-pass turning Optimal design Optimisation problems Optimisations Shape designs Simulated annealing algorithms |
Issue Date: | 2009 |
Publisher: | Inderscience Enterprises |
Citation: | Yıldız, A. R. (2009). "Hybrid immune-simulated annealing algorithm for optimal design and manufacturing". International Journal of Materials & Product Technology, 34(3), 217-226. |
Abstract: | This paper introduces a new hybrid optimisation approach by combining immune algorithm and simulated annealing algorithm. The main goal of the present research is to develop a novel optimisation approach for the solution of engineering optimisation problems. To demonstrate the effectiveness and robustness of the proposed approach, it is applied to engineering optimisation problems including the multi-pass turning problem taken from the literature and a shape design optimisation problem from automotive industry. Compared with other existing approaches in the literature, the proposed approach is very useful for optimal design and manufacturing. |
URI: | https://doi.org/10.1504/IJMPT.2009.024655 http://www.inderscience.com/offer.php?id=24655 http://hdl.handle.net/11452/22478 |
ISSN: | 0268-1900 |
Appears in Collections: | Scopus Web of Science |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.