Використання генетичних алгоритмів при плануванні залізничних перевезень у міжнародному сполученні

Abstract

UA: Стаття розглядає проблеми і перспективи розвитку прикордонних терміналів України з країнами ЄС у воєнний та післявоєнний періоди. Проведено аналіз сучасного стану вантажних перевезень у європейському напрямку, проблеми та коротко- і довгострокові перспективи розвитку залізниць. Залізничний транспорт відіграє ключову сприяючу роль до інтеграції України у європейську транспортну систему. Це відкриває можливості до реалізації плану відбудови та розвитку залізниць.

EN: The article explores challenges and opportunities related to the growth of Ukrainian border terminals with EU nations during both wartime and post-war periods. It conducts an analysis of the present condition of freight transportation towards Europe, addressing immediate issues as well as short- and long-term prospects for railway development. The pivotal role of railway transport in facilitating Ukraine's integration into the European transportation network is emphasized, presenting possibilities for realizing plans for railway reconstruction and advancement. It has been established that container transportation already occupies a significant share of the market and the tendency to use it is only increasing. Ukraine, as a transit state (there are 4 out of 10 existing panEuropean transport corridors pass through the territory of Ukraine), has great potential for the development of its own railway transportation system. On practice container transportation allows to reduce the cost of packing operations by more than 2 times, increase labor productivity by 4-5 times, and provide conditions for complex mechanization and automation of transshipment operations. Transport and logistics system of Ukraine is at a rather low level compared to other countries of the world. Therefore, this article studies the ways of optimizing the container movement from Ukraine to EU countries, using certain mathematical algorithms and methods. One of these methods described is genetic algorithm, which is considered to be one of the best mathematical algorithms for the task described above. It could play a crucial role in establishing a decent logistical railway system at the western border of Ukraine. Also, it could help to optimize the border crossings passage to implement and expand transport capabilities of Ukrainian railways. It could not only help to find the fastest or cheapest route but also shows the weak points of Ukrainian border terminals. Based on this information,