A FAST ALGORITHM FOR SIMULATED ANNEALING

被引:6
|
作者
HONG, G
ZUCKERMANN, M
HARRIS, R
GRANT, M
机构
[1] Centre for the Physics of Materials, Department of Physics, McGill University, Montreal, QC, H3A 2T8
来源
PHYSICA SCRIPTA | 1991年 / T38卷
关键词
D O I
10.1088/0031-8949/1991/T38/010
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We present a new deterministic algorithm for simulated annealing and demonstrate its applicability with several classical examples: the ground state energies of the 2d and 3d short range Ising spin glasses, the traveling salesman problem, and pattern recognition in computer vision. Our algorithm is based on a microcanonical Monte Carlo method and is shown to be a powerful tool for the analysis of a variety of problems involving combinatorial optimization. We show that the deterministic method generates optimal solutions faster and often better than the standard Metropolis method.
引用
收藏
页码:40 / 44
页数:5
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