This article discusses the possibility of reducing logistics costs for transportation using the genetic algorithm for solving the Traveling Salesman problem. As a solution, it is proposed to develop an algorithm of actions for optimizing cargo transportation routes and to work out some points of the algorithm that will bring the result to the desired form. Based on this, the steps that are included in this algorithm, which was developed using an application using the Electron framework (JavaScript programming language), are analyzed. Based on the proposed algorithm, a practical situation is resolved and an optimal route is drawn up for orders of the courier organization. Such an application will improve the technical and operational performance of the enterprise, strengthen coordination of work and shippers, reduce transportation costs, use road transport more efficiently.
CITATION STYLE
Kukartsev, V. V., Tynchenko, V. S., Mikhalev, A. S., Nozdrenko, E. A., Sokolovskiy, N. V., & Rukosueva, A. A. (2020). The software application for cargo transportation routes optimization. In Journal of Physics: Conference Series (Vol. 1582). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1582/1/012051
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