This research is devoted to the determination of the causal relationship between the flow of particles that are coming from the Sun and the hurricanes Irma, Jose, and Katia. To accomplish this, the lag correlation analysis was performed. High correlation coefficients confirmed a preliminary conclusion about the relationship between solar activities and the hurricane phenomenon, which allows further research. Five parameters i.e. characteristics of solar activity (10.7 cm solar radio flux (F10.7), the flows of protons and electrons with maximum energy, speed and density of solar wind particles) were chosen as model input, while the wind speed and air pressure of Irma, Jose, and Katia hurricanes B D. Doljak
The use of ant colony optimization algorithms for solving the routing problem in a process of products delivery taking into account a city transport infrastructure has shown in this research. The vehicle routing problem belongs to NP-hard task and its solution requires significant computing resources. Therefore, it is recommended to use metaheuristic methods to solve such problems including ant colony optimization algorithms. Solution of the Vehicle Routing Problem will cause a decrease of enterprises non-productive resources consumption and will promote the increase of their efficiency and competitiveness. The test example, consisting of eight consumers of freight and two transportation means with unlimited load capacity, moving around the certain city, is used for the implementation of the model. It can be further refined by taking into account various parameters besides transport infrastructure, including limitations on carrying capacity, a number of vehicles an working hours, an amount of consumers’ orders and a time for loading and unloading, etc.
This paper presents the solving of the travelling salesman problem with repeated visitation of several outlets. The genetic algorithm was used as a technique for the finding the shortest route in the case of visiting every destination point. The three cases are described in the present research: the solving of the Euclidean travelling salesman problem, the solving of the travelling salesman problem considering the region transportation network and the solving of the travelling salesman problem with repeated visitation of some sales outlets. The solving algorithm which involves partitioning the route into sections without repeated visits to sales outlets has been proposed. Obtained results were combined into one which was considered as optimized for a given route. As a result of our investigation we have proposed the optimized routes that are up to 29% shorter than the actual ones used by the wholesale trade enterprises. As we can see this methodology provides a significant reduction of the transportation expenses of such organizations.
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