Some Remarks on the Optimal Level of Randomization in Global Optimization
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2025-10-20 v1 数值分析
数值分析
概率论
摘要
For a class of stochastic restart algorithms we address the effect of a nonzero level of randomization in maximizing the convergence rate for general energy landscapes. The resulting characterization of the optimal level of randomization is investigated computationally for random as well as parametric families of rugged energy landscapes.
关键词
引用
@article{arxiv.math/0406095,
title = {Some Remarks on the Optimal Level of Randomization in Global Optimization},
author = {Ted Theodosopoulos},
journal= {arXiv preprint arXiv:math/0406095},
year = {2025}
}
备注
16 pages, 8 figures, presented at the DIMACS Workshop on Randomization Methods in Algorithm Design, 1997