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Proceedings Paper

Study of controlling parameters of simulated annealing for constrained optimization problems
Author(s): Tian Li; Wenhua Chen; Lishao Zhang
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Paper Abstract

This paper introduces a simulated annealing algorithm for solving the linear constrained optimization problems. The performance of this algorithm is demonstrated with Rosenbrock function global optimal problem. Then the design of cooling schedule and the influence of various controlling parameters are discussed. From the results, it is evident that the quality of the obtained optimal solution is closely related to the iterative times. There are three parameters related to the iterative times, and the most important influence parameter is markov chain.

Paper Details

Date Published: 29 October 2011
PDF: 6 pages
Proc. SPIE 8205, 2011 International Conference on Photonics, 3D-Imaging, and Visualization, 82051C (29 October 2011); doi: 10.1117/12.906071
Show Author Affiliations
Tian Li, Zhejiang Science and Technology Univ. (China)
Wenhua Chen, Zhejiang Science and Technology Univ. (China)
Lishao Zhang, Zhejiang Science and Technology Univ. (China)


Published in SPIE Proceedings Vol. 8205:
2011 International Conference on Photonics, 3D-Imaging, and Visualization

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