This paper considers the improved method for segmenting complex structured images acquired from space observation systems based on the particle swarm algorithm. Unlike known ones, the method for segmenting complex structured images based on the particle swarm algorithm involves the following: – highlighting brightness channels in the Red-Green-Blue color space; – using a particle swarm method in the image in each channel of brightness of the RGB color space; – image segmentation is reduced to calculating the objective function, moving speed, and a new location for each swarm particle in the image in each RGB color space brightness channel. Experimental studies have been conducted on the segmentation of a complex structured image by a method based on the particle swarm algorithm. It was established that the improved segmentation method based on the particle swarm algorithm makes it possible to segment complex structured images acquired from space surveillance systems. A comparison of the quality of segmenting a complex structured image was carried out. The comparative visual analysis of well-known and improved segmentation methods indicates the following: – the improved segmentation method based on the particle swarm algorithm highlights more objects of interest (objects of military equipment); – the well-known k-means method assigns some objects of interest (especially those partially covered with snow) to the snow cover (marked in blue); – the improved segmentation method also associates some objects of interest that are almost completely covered with snow with the snow cover (marked in blue). It has been established that the improved segmentation method based on the particle swarm algorithm reduces segmentation errors of the first kind by an average of 12 % and reduces segmentation errors of the second kind by an average of 8 %

The methodological approaches to the use of genetic algorithm for the synthesis of the rational structure of the radar surveillance system are proposed in the paper. The structure of the radar surveillance system is presented in the form of an incidence matrix, which is used as a chromosome by the operators of the genetic algorithm. This matrix is used as a chromosome by the operators of the genetic algorithm. The elements of the incidence matrix that describe the relationships between the elements of the structure of the observation system are genes in the genetic algorithm. In each cycle of the genetic algorithm, a pair of chromosomes is paired, during which part of the genes are exchanged, which for the system under study means the appearance and disappearance of the corresponding connections between the elements. The calculation of the values of the efficiency of radar surveillance for each variant of the structure is proposed to be carried out using the ant colony optimization. The gain in the value of the conditional probability of correct detection with a fixed probability of false alarm is approximately 10% Keywords— genetic algorithm, artificial intelligence, optimization, route, radar surveillance system.

It is proposed to use an improved ant colony algorithm to determine the flight paths of unmanned aerial vehicles groups to the objects of intrest. A study was conducted on the application of the MAX-MIN Ant System to simultaneously determine the flight paths of several groups of unmanned aerial vehicles from different airfields to different objects of interest. Obstacles in the path of the unmanned aerial vehicles flight are also taken into account. As an example, the problem of a unmanned aerial vehicles breakthrough of an air defense system is considered. The number of unmanned aerial vehicles required to destroy the object of impact with a given probability is taken into account. The efficiency of the algorithm in the conditions of non - stationary environment is also investigated. Keywords— unmanned aerial vehicle, group, ant colony algorithm, route, flight, optimization

Проведено узагальнення досвіду застосування безпілотних літальних апаратів (БпЛА) збройних сил (ЗС) Російської Федерації (рф) у ході широкомасштабного вторгнення на територію України. На відміну від попередніх бойових дій російського війська, вперше застосовуються БпЛА в умовах серйозної протидії протиповітряної оборони (ППО) ЗС України, найбільш ефективні міні і, до певної міри, середні БпЛА, а також БпЛА-камікадзе. Відмічається зміна характеру війни – застосування збройними силами рф баражуючих боєприпасів іранського виробництва для нанесення ударів по критичній інфраструктурі України.

The main purpose of the article is the peculiarities of implementing of the state’s strategic narrative based on the the statistical analysis of the public opinion. The scenarios of the public opinion development are forecasted. The main results are: the graphs of the statistical series of change in public opinion have been constructed; the approximating functions for the trend of change in public opinion have been determined; the parameters of the approximating function have been calculated; a point forecast of the change in public opinion has been made. The main scientific method ia the method of statistical extrapolation. The main results are: to identify the features of the implementation of the strategic narrative of the state system in strategic communications; it is obtained the necessary minimum value of efficiency. This value of efficienct should be achieved by the system of strategic communications, when taking appropriate measures to promote and support of the appropriate course of the state by the population. This result is actually such as in the controlled territory and in the temporarily occupied territories (Donetsk and Luhansk regions, the Crimea). Keywords—strategic narrative, target audience, informational and psychological influence, strategic communications