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

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