Features of Artificial Bee Colony Based Algorithm Realization for Parametric Identification Method of the Interval Discrete Dynamic Models

Kedrin, Yevhen; Dyvak, Mykola; Pukas, Andriy; Voytyuk, Iryna; Maslyiak, Yurii; Papa, Oleksandr

doi:10.1109/acit49673.2020.9208916

Cited by 9 publications

(4 citation statements)

References 12 publications

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“…Using the model of observations (44) and taking into account the limitation on the amplitude of the error (45), estimates of the concentration of harmful substances Complexity…”

Section: Resultsmentioning

confidence: 99%

“…However, to date, the most effective methods for solving this optimization problem are methods based on behavioral models of artificial bee colonies (ABC) [49]. e substantiation of this fact is given in [40,44].…”

Section: Methods Of Mathematical Modeling Based Onmentioning

confidence: 99%

“…ese computational schemes for the implementation of the method of IDM parametric identification are based on four-step procedures [44].…”

Section: Statement Of the Problem Of Mathematical Modeling Based On I...mentioning

confidence: 99%

“…Another direction in mathematical modeling according to the inductive approach is presented by the methods of mathematical modeling based on interval data [39][40][41][42][43]. e multiple estimates of the parameters of the "input-output" model, built on the results of an experiment in which the output variables are obtained in interval form, are the peculiarities of these methods [44,45].…”

Section: Introductionmentioning

confidence: 99%

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Ontology of Mathematical Modeling Based on Interval Data

et al. 2022

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An ontological approach as a tool for managing the processes of constructing mathematical models based on interval data and further use of these models for solving applied problems is proposed in this article. Mathematical models built using interval data analysis are quite effective in many applications, as they have “guaranteed” predictive properties, which are determined by the accuracy of experimental data. However, the application of mathematical modeling methods is complicated by the lack of software tools for the implementation of procedures for constructing this type of mathematical models, creating an ontological model that operates by the categories of the subject area of mathematical modeling, regardless of the modeling object proposed in this article. This approach has made it possible to generate tools for mathematical modeling of various objects based on the interval data analysis for any software development environment selected by the user. The technology of creating the software on the basis of the developed ontological superstructure for mathematical modeling using the interval data for different objects, as well as various forms of user interface implementation, is presented in this article. A number of schemes, which illustrate the technology of using the ontological approach of mathematical modeling based on interval data, are presented, and the features of its interpretation when solving environmental monitoring problems are described.

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“…Using the model of observations (44) and taking into account the limitation on the amplitude of the error (45), estimates of the concentration of harmful substances Complexity…”

Section: Resultsmentioning

confidence: 99%

Section: Methods Of Mathematical Modeling Based Onmentioning

confidence: 99%

“…ese computational schemes for the implementation of the method of IDM parametric identification are based on four-step procedures [44].…”

Section: Statement Of the Problem Of Mathematical Modeling Based On I...mentioning

confidence: 99%