Heuristics are often characterized as rules of thumb that can be used to speed up the
process of decision-making. They have been examined across a wide range of fields …

In this investigation, we examined the impact of employing simple random sampling on the
stratification points pertaining to the two independent variables. The study focused on a …

This paper presents a biased random-key genetic algorithm for k-medoids clustering
problem. A novel heuristic operator was implemented and combined with a parallelized …

In sampling theory, stratification corresponds to a technique used in surveys, which allows
segmenting a population into homogeneous subpopulations (strata) to produce statistics …

This paper proposes two integer linear programming formulations to solve the optimal
stratification problem (OSP). In this problem, once given the number of strata and the total …

In sampling theory, stratification corresponds to a technique used in surveys, which allows
segmenting a population into homogeneous subpopulations (strata) to produce statistics …

In the current era, data on study variable is rarely available that leads us to utilise the
auxiliary variable for the stratification purpose. In this investigation, we developed a …

The study examines the determination of stratification points for two study variables within
the framework of simple random sampling, particularly focusing on calculating the …

This paper proposes an algorithm based on VNS metaheuristcs for k-medoids clustering,
which is a NP-hard optimization problem. The VNS algorithm was applied in fifty data bases …

Executar buscas em grandes quantidades de dados é um desafio, tanto do ponto de vista
de tempo de execuçao quanto da qualidade semântica dos resultados, sendo necessário …