Dynamic Greedy Algorithms for the Edwards-Anderson Model.
To provide a novel tool for the investigation of the energy landscape of the Edwards-Anderson spin-glass model we introduce an algorithm that allows an efficient execution of a greedy optimization based on data from a previously performed optimization for a similar configuration. As an application we show how the technique can be used to perform higher-order greedy optimizations and simulated annealing searches with improved performance.
Publisher URL: http://arxiv.org/abs/1802.04541
DOI: arXiv:1802.04541v1
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