STUDY OF THE EFFICIENCY OF THE ANT COLONIES METHOD IN OPTIMIZING PLANS OF MULTIFACTOR EXPERIMENTS
DOI:
https://doi.org/10.17721/2519-481X/2023/81-07Keywords:
ant colony method, research, multivariate experiment, software, algorithm, optimizationAbstract
of plans of multivariate experiments. The authors carefully analyzed the actual problems that arise in the process of optimization of multifactorial plans of experiments, analyzed a significant number of methods of optimization of multifactorial experiments and substantiated the need to develop new and productive approaches to solving these problems. The main emphasis in the article is on the ant colony method, which is considered a powerful and effective tool for quick and effective optimization of multivariate experimental plans.
The article includes a detailed description of the algorithm, the scheme of its operation and the implementation of the ant colony method in the form of a program written 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 carefully reviews the performance of the ant colony method, focusing on its effectiveness with a large number of experimental factors, especially when increasing the number of factors and experiments. The authors analyze the accuracy of the results and emphasize the importance of careful selection of parameters to achieve optimal research results. With this article, scientists and practitioners will find a valuable tool for optimizing and improving the performance of multivariate experiments in various fields of science and industry.
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