Heuristic algorithm for optimizing the implementation of a complex of mechanized works in field farming in conditions of digitalization

Abstract

In modern conditions, ensuring the competitiveness of agricultural production is impossible without an accurate and scientifically based system of organization of production, an integral element is planning the implementation of mechanized agricultural technical work. Models for optimizing the use of the enterprise’s machine and tractor fleet in field farming are based on the mathematical apparatus of linear programming and greatly simplify reality. This study considers the possibility of using nonlinear models to solve the problem of optimal planning of spring-field work.Particular attention is paid to the heuristic algorithm for obtaining an initial reference plan, close to the optimal, and an integer solution. An example of calculations according to the proposed method for a specific agroindustrial enterprise is given. The described heuristic algorithm can be successfully applied in practice in operational-production planning of the use of the available machine-tractor fleet in field farming.