Publication: Hybrid immune-simulated annealing algorithm for optimal design and manufacturing
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Yıldız, Ali Rıza
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Inderscience Enterprises
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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.
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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
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.