Year: 2024
Type: article
Abstract: The article is devoted to the study of the effectiveness of the method of bee colonies in the context of optimization of plans of multivariate experiments. Examples of the effectiveness of the bee colony method in the optimization of multivariate experiments in comparison with other optimization methods are given. This article emphasizes the use of the bee colony method as an effective means of optimizing multivariate experimental designs. The article discusses in detail the algorithm of bee colonies, its scheme and implementation in the form of a program in the C# programming language. The authors give specific examples of the application of the algorithm in various areas, such as the eddy current converter, the study of the process of measuring the current density of galvanic baths, and the analysis of a section of a machine shop with numerical software control. The article examines the productivity of the method of bee colonies with many factors of the experiment, in particular with an increase in their number. The authors review the accuracy of the results and emphasize the importance of careful parameter selection and the need for high computer power to achieve optimal results in scientific research. This article will be a useful tool for scientists and practitioners looking for a way to improve the results of multivariate experiments in various fields of science and industry.
Source: Metrology and instruments
Authors: Mikola Koshovyi, Denis Kuraksin
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4405617522