فصلنامه بازی جنگ
پیاپی 11 (پاییز و زمستان 1401)

Lanchester equations are frequently applied in simulating wargames and modeling the population dynamics of combat forces of groups involved in operational areas. These equations can provide an estimate of the population of the two groups in the future and determine the victorious force of the war by considering factors such as the casualty rate of internal forces and enemy forces. However, all the calculations performed in these models are done according to the momentary changes in population dynamics. While the events that happened in the past can be effective in determining the future status of the forces. For this purpose, in this article, we intend to add the memory mechanism in the Lanchester equations by using fractional derivatives and analyzing it from a military perspective. Then, by applying a fractional multistep scheme, we will simulate these equations. Finally, by presenting some examples, we will examine and study the behavior of the proposed fractional Lanchester equations. The numerical scheme used in this paper is an Adams-Moulton-Bashforth fractional multistep scheme for Caputo sense fractional derivatives, which can simulate differential equation problems with high stability and accuracy. The results obtained in this paper show that by reducing the order of the derivative in the Lanchester equations and using memory in the model, the loss rate increase compared to the normal models.

Establishing security in the different borders of the country is one of the most important priorities of the military forces, especially the ground forces. In this article, the security games between a defender and several attackers are investigated and the players' preferences and how to calculate them are described. To solve the problem of the uncertainty of the defender to face the unknown type of attacker, the Bayesian game approach is used. and in order to solve the problem of uncertainty caused by the ambiguity in the understanding of experts and their imprecise judgment, the phase theory has been used as a practical example of this type of games in creating security at land borders, and the model of this problem is expressed as a game. multi-objective security has been investigated, for this purpose we have investigated the movements and actions of the Republic of Azerbaijan in the region and to prevent this country from attacking the common land borders of Iran and Azerbaijan, the appropriate allocation and coverage of four bordering provinces (Gilan, Ardabil) , West Azerbaijan and East Azerbaijan) by the ground units in the operational area. Finally, it can be concluded that many complex military issues can be investigated using security games and the model of its optimal solution can be designed.

Today, the threats caused by micro-birds are one of the most important challenges of defense systems. The two main components in managing these threats are modeling and decision-making based on the model drawn from them. Determining the optimal path for the movement of small birds is one of the most important decisions in this field. In this process, the routing is done based on the modeling done from the assessment of the space of states and available resources. In this regard, in this article, in order to depict the situation more accurately, the sequential nature of the problem of the allocation of small birds in offensive operations is considered. Therefore, in this article, a multi-objective-multi-stage model for determining the weight of edges in the routing graph is presented. Also, genetic algorithm and genetic algorithm with non-dominant sorting are used to find the optimal routing for operations in the battle scene. The efficiency of the genetic algorithm with non-dominant sorting is evaluated using three criteria: generation distance as a convergence criterion, extent as a diversity criterion, and actual computation time.

The proper angle of launching air defense balls is very important in the probability of the projectile hitting the air target. If the projectile hits the air target, defense costs are saved and damage is not allowed by the enemy. In other words, the ability to hit the target is mainly The reason for cost reduction is essential for modern air cannon systems. The purpose of determining the pre-aiming angles of a projectile is the initial orientation of a bullet firing system in order to hit the intended target, which is addressed in fire control issues, in such a way that the required information is given to the fire control system, and the system after analysis The information selects the most suitable angle and fires the projectile at the target. In this research, we are looking for a solution to determine the pre-target angles of a projectile to hit an aerial target, or in other words, to control the fire to hit an air defense ball on the target. In order to prevent further damage by the enemy while reducing defense costs. In this regard, the problem is first examined in two-dimensional mode, then the problem is considered in three dimensions, in order to calculate the most suitable angle in the fastest time, MLP neural network will be used in this research.

The combined war of the modern method is composed of classical, irregular, virtual, media, judicial and diplomatic wars, which has two hard and soft sides, and the soft side is a precursor to the hard side, which has precursor signs, which the present study seeks to analyze with a descriptive-analytical approach. Weak signals ahead of Russia's combined war game against Ukraine. The type of research is applied-development which has been done in a qualitative way. The statistical population of the research was purposefully included among the military experts and defense experts at the level of the armed forces with the characteristic of serving in strategic jobs, including 47 people. Collecting information using the library method and conducting interviews in consensus meetings with experts resulted in extracting the number of (34) variables that were considered as weak antecedent signs of the combined war game of Russia against Ukraine. SPSS and MicMac software were used for data analysis. The findings showed that in the economic-technological dimension (9) signs, in the information-security dimension (10) signs, in the cultural-propaganda dimension (6) signs, and in the political-diplomatic dimension (9) there was a weak sign, which testifies to the game Russia's combined war has been against Ukraine.

Today, the use of relational databases in order to design and implement application systems with a high volume of information and integrated information management of organizations is very necessary. Air command and control systems with information from other routes, the possibility of (1) determining the total number of targets seen in a certain time interval by a specific radar, (2) the possibility of managing the radar coverage area in order to expand or not expand radar sites in the region. (3) The possibility of managing the radar coverage area in order to expand or not expand the radar sites in the region, (4) It makes it possible for the commanders and employees of the information technology department to manage the archival information of the last state of event registration. In this research, by using the main concepts of the analytical database, a suitable architectural model was presented for the analysis of centralized air command and control systems (SOC, TADS, RIPS) and the presented model was created by creating several queries on the route information. We analyze a flight in command and control systems using the Oracle database and compare the analysis speed of the query speed in the model once with the analytical database mechanism and once with the general purpose mechanism or the OLTP mechanism and announce the result. .