A refined sampling procedure for genealogical control

A Sequential Sampling Procedure for Stochastic Programming

We develop a sequential sampling procedure for a class of stochastic programs. We assume that a sequence of feasible solutions with an optimal limit point is given as input to our procedure. Such a sequence can be generated by solving a series of sampling problems with increasing sample size, or it can be found by any other viable method. Our procedure estimates the optimality gap of a candidat...

A Sequential Sampling Procedure for Genetic Algorithms

In this paper, we apply sequential decision theory for scheduling tests in genetic algorithms and investigate an efficient sampling procedure for improving its performance. We use a loss function specifically defined for our analysis and obtain sequential decision equations for the optimal procedure. We derive simplified equations so that the procedure can be applied in practice. Finally, we co...

Sampling procedure

Sampling Properties of Genealogical Pathways Underlying Population Pedigrees.

In sexual species, autosomal alleles are transmitted through multigeneration organismal pedigrees via pathways of descent involving both genders. Here, models assess the sampling properties of these gender-described transmission pathways. An isolation-by-distance model of mating was used to construct a series of computer population pedigrees by systematically varying neighborhood size and the t...

Two-Stage Sequential Sampling: A Neighborhood-Free Adaptive Sampling Procedure

Designing an efficient sampling scheme for a rare and clustered population is a challenging area of research. Adaptive cluster sampling, which has been shown to be viable for such a population, is based on sampling a neighborhood of units around a unit that meets a specified condition. However, the edge units produced by sampling neighborhoods have proven to limit the efficiency and applicabili...