Application of Simulated Annealing Algorithm in Sintering Burdening Optimization

Article Preview

Abstract:

Sintering burdening optimization has great value in reducing sintering cost and improving sinter qualities. Considering the nonlinear relationship between the high temperature characteristic parameters of iron ores in sintering, this article introduces the simulated annealing algorithm into burdening calculation and establishes a mathematic model of sintering burdening optimization. The initial parameters in simulated annealing algorithm are determined through tentative experiments, including initial temperature, cooling function, annealing constant and the end condition. The model can effectively reduce sintering cost and improve sinter qualities in its practical use.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

116-122

Citation:

Online since:

November 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Tang Xianrong, Wang Duyang, Zhang Qingcen. Sintering theory and technology. Changsha, China, 1992.

Google Scholar

[2] KANG Lishan, XIE Yun, YOU Shiyong, et al.Non-Numerical Parallel Algorithms (Vol.1): Simulated Annealing Algorithm. Beijing: Science Press, 1994. (in Chinese)

Google Scholar

[3] Wu Shengli, Liu Yu, Du Jianxin, et al. New Concept of Iron Ores Sintering Basic Characteristics. Journal of University of Science and Technology Beijing, 2002, 24(3): 254-257.

Google Scholar

[4] Li Chunming. Optimization methods.Nanjing, China, 2009.

Google Scholar

[5] Zhou Quding, Kong Lingtan. theory and technology of iron ore made piece. Beijing, 1989.

Google Scholar

[6] YAO Zhi chao, ZHANG Yanling, LI Shiqi, et al. Model structure of burden design for properties optimization. Journal of Baotou University of Iron and Steel Technology, 2002,21(3):263-267.

Google Scholar

[7] [ Gu Yuanxian, Xiang Baowei, Zhao Guozhong. An Improved Simulated Annealing Algorithm for Global Optimization Problems with Continuous Variables. Systems Engineering-theory & Practice, 2005,4(4):103-109.

Google Scholar