STRUCTURAL SYNTHESIS OF INNOVATIVE AGROTECHNOLOGICAL PROCESSES WITH THE APPLICATION OF GENETIC ALGORITHMS

UDC 519.876.2
DOI:10.26102/2310-6018/2019.25.2.022

D.A. Petrosov, V.A. Ignatenko, N.V. Petrosova, A.N. Zelenina


In the majority of existing models and methods of intellectual structural synthesis of simulation models of technological processes, the subject area of agricultural production is not paid attention. This paper discusses the possibility of using genetic algorithms as the main tool for model synthesis based on a given behavior, which is a given set of input vectors processed into a set of reference vectors. As a tool for adapting the evolutionary procedure (genetic algorithm), the use of nested Petri nets is proposed, on the basis of which a model has been developed that allows one to perform an intelligent synthesis procedure. The description of the element base of the components of the technological process is also carried out on the basis of the chosen mathematical tools, which allows it to be limited to one mathematical apparatus for solving the problem of intelligent structural synthesis of simulation models of technological processes. As a means for a preliminary description of the structure of the synthesized model, it is proposed to use modern methodologies for describing business processes, such as IDEF3. The paper discusses the technological process of fertilizer application, proposes the element base of simulation models of the technological chain components created using the PIPE v 4 software tool. Examples of the work of the proposed models and methods are given.

Keywords: technological processes, simulation modeling, theory of Petri nets, genetic algorithms

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