Hopping between distant basins
Hopping between distant basins
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DOI：
10.1007/s10898-022-01153-z
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发表时间：
2021-08
影响因子：
1.8
通讯作者：
M. Goodridge;J. Moriarty;Jure Vogrinc;Alessandro Zocca
中科院分区：
文献类型：
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作者：
M. Goodridge;J. Moriarty;Jure Vogrinc;Alessandro Zocca
我们提出并数值分析了跳跃盆地跳跃（BH-S）算法的随机优化。该算法用一种来自稀有事件采样的跳跃机制代替了盆跳跃（BH）的扰动步骤。基准优化表面上的实证结果表明，BH-S可以通过鼓励非本地勘探，即通过在遥远的盆地之间跳跃来提高相对于BH的性能。
We present and numerically analyse the Basin Hopping with Skipping (BH-S) algorithm for stochastic optimisation. This algorithm replaces the perturbation step of basin hopping (BH) with a so-called skipping mechanism from rare-event sampling. Empirical results on benchmark optimisation surfaces demonstrate that BH-S can improve performance relative to BH by encouraging non-local exploration, that is, by hopping between distant basins.