The task of assessing, grouping and arranging data into meaningful groups or clusters
based on their similarities/dissimilarities measures known as cluster analysis. Thereby, there …

Evolutionary approaches are widely applied in solving various types of problems. The paper
considers the application of EvolODE and EvolODES approaches to the identification of …

We propose a modification to the genetic algorithm with greedy agglomerative crossover
operator for the problem of scheduling product types at the facilities of the metal or plastic …

Progress in the development of location theory and clustering methods is mainly aimed at
improving the performance of algorithms. We study the continuous p-median problem with …

We consider the continuous p-median problem which is a popular mathematical model for
both facility location and cluster analysis. For the p-median problems as well as very similar …

This article explores the applicability of some special mutation operators in 1+ λ evolutionary
algorithms for the clustering problem. Authors used minimum spanning tree dataset …

УДК 519.6 О ПРИМЕНЕНИИ ОДНОГО ПОДХОДА ДЛЯ ОБРАБОТКИ ДАННЫХ БОЛЬШОЙ
РАЗМ Page 1 УДК 519.6 О ПРИМЕНЕНИИ ОДНОГО ПОДХОДА ДЛЯ ОБРАБОТКИ ДАННЫХ …

Статья посвящена исследованию применимости 1+ λ эволюционных алгоритмов с
использованием особых операций мутации и начального разбиения с использованием …