Ways to solve the optimal mobility of forest complex machines in the formation of a logging enterprise

Abstract

Abstract The paper discusses solving the problem of machine mobility using an hybrid evolutionary modeled algorithm. Until now, the problem of optimizing the mobility of machines has been considered as a private problem that does not take into account the completeness of all factors affecting the process. The goal of our research is to develop a method that allows it to be used effectively to find optimization problems. The proposed method includes three concepts: optimization of mode, structural parameters and control process. We relied on the basic provisions of mathematical statistics, methods of mathematical modeling, evolutionary modeling and parameter optimization. A system of functions has been compiled to perform the task of multi-criterion optimization of the mobility parameters of forest equipment based on four criteria: cross-country ability, speed, relative turning radius and probability of failure-free operation. A metagenetic approach has been applied, which made it possible to achieve the best combination of traditionally used optimization methods and a genetic algorithm. Tests of the received algorithm were performed on standard tasks. The test results showed that the proposed method makes it possible to obtain high-quality solutions at minimum cost. The PRADIS//FRONT information system was used in calculations and plotting.