METHOD OF STRUCTURAL IDENTIFICATION OF INTERVAL DISCRETE MODELS OF COMPLEX OBJECTS WITH ADAPTIVE ADJUSTMENT OF SELECTION OF STRUCTURAL ELEMENTS

Abstract

The problem of structural identification of interval discrete models of complex objects and the method of solving it based on the behavioral model of a bee colony are considered. Peculiarities of the implementation of this method have been studied. It was established that during the formation of structures at different phases of the computational scheme of the method, we make a selection from a set of elements randomly and replace structural elements also randomly. This choice is based on the uniform distribution law.

Based on these facts, the problem of the need to prioritize the selection of structural elements from a set to form an optimal, in the sense of the problem of structural identification of the structure of an interval discrete model, is formulated, which will ultimately ensure a reduction in the computational complexity of the method of structural identification of interval discrete models of complex objects.

The paper proposes and substantiates a new method of structural identification of interval discrete models of complex objects, which, unlike the existing ones, contains computational procedures for adaptive adjustment of the selection of structural elements in a way of establishing for each element of a set of structural elements the probability of selecting any element and based on the change of this distribution in different phases of the behavioral model of the bee colony, which collectively reduces the computational complexity of the method implementation.