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A hybrid estimation of distribution algorithm for joint stratification and sample allocation. (arXiv:2201.04068v1 [stat.ME])
Jan. 12, 2022, 2:10 a.m. | Mervyn O'Luing, Steven Prestwich, S. Armagan Tarim
cs.LG updates on arXiv.org arxiv.org
In this study we propose a hybrid estimation of distribution algorithm (HEDA)
to solve the joint stratification and sample allocation problem. This is a
complex problem in which each the quality of each stratification from the set
of all possible stratifications is measured its optimal sample allocation. EDAs
are stochastic black-box optimization algorithms which can be used to estimate,
build and sample probability models in the search for an optimal
stratification. In this paper we enhance the exploitation properties of …
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