Generalized simulated annealing algorithm and its application to the Thomson model

Y. Xiang; D. Y. Sun; W. Fan; X. G. Gong

doi:10.1016/S0375-9601(97)00474-X

Generalized simulated annealing algorithm and its application to the Thomson model

Y. Xiang^*
, D. Y. Sun
, W. Fan
, X. G. Gong

^*此作品的通讯作者

Chinese Academy of Sciences
China Center of Advanced Science and Technology World Laboratory

科研成果: 期刊稿件 › 文章 › 同行评审

228 引用（Scopus）

摘要

Based on the Tsallis statistics, the generalized simulated annealing algorithm (GSA) is tested and developed. Studies on the Thomson model show that the GSA is more efficient than the classical simulated annealing and the fast simulated annealing. The fluctuation of energy is reduced drastically. The convergence to the global minimum is fast. We believe the GSA algorithm is a powerful method to find the global minimum in more realistic problems, like the equilibrium structure of big clusters.

源语言	英语
页（从-至）	216-220
页数	5
期刊	Physics Letters, Section A: General, Atomic and Solid State Physics
卷	233
期	3
DOI	https://doi.org/10.1016/S0375-9601(97)00474-X
出版状态	已出版 - 25 8月 1997
已对外发布	是

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abstract = "Based on the Tsallis statistics, the generalized simulated annealing algorithm (GSA) is tested and developed. Studies on the Thomson model show that the GSA is more efficient than the classical simulated annealing and the fast simulated annealing. The fluctuation of energy is reduced drastically. The convergence to the global minimum is fast. We believe the GSA algorithm is a powerful method to find the global minimum in more realistic problems, like the equilibrium structure of big clusters.",

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AU - Gong, X. G.

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Y1 - 1997/8/25

N2 - Based on the Tsallis statistics, the generalized simulated annealing algorithm (GSA) is tested and developed. Studies on the Thomson model show that the GSA is more efficient than the classical simulated annealing and the fast simulated annealing. The fluctuation of energy is reduced drastically. The convergence to the global minimum is fast. We believe the GSA algorithm is a powerful method to find the global minimum in more realistic problems, like the equilibrium structure of big clusters.

AB - Based on the Tsallis statistics, the generalized simulated annealing algorithm (GSA) is tested and developed. Studies on the Thomson model show that the GSA is more efficient than the classical simulated annealing and the fast simulated annealing. The fluctuation of energy is reduced drastically. The convergence to the global minimum is fast. We believe the GSA algorithm is a powerful method to find the global minimum in more realistic problems, like the equilibrium structure of big clusters.

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Generalized simulated annealing algorithm and its application to the Thomson model

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