فصلنامه بازی جنگ
پیاپی 12 (بهار و تابستان 1402)

In the multi domain environment of current wars, the war game is considered an effective tool for familiarizing the commanders with the operational environment and making optimal and innovative decisions. The purpose of this research is to identify and classify the effective factors in the design and implementation of the war game.

The research method is exploratory factor analysis. The research is applied in terms of purpose, and in terms of mixed work method and descriptive-survey execution type. In order to collect the required information and data, documentary and library reviews related to valid domestic and foreign books have been used. Based on the study of sources, a researcher-made questionnaire tool was developed in order to collect information. The validity of the questionnaire was confirmed by the face/content method and reliabilities with Cronbach's alpha coefficient of 0.82 and it was divided between the samples.

A number of 41 characteristics in the war game design and implementation field were analyzed using SPSS software and Bartlett's, KMO, and correlation matrix tests, and the results of data analysis were divided into 4 main components in the design dimension and 4 main components in the execution dimension.

the results of data analysis were divided into 4 main components (Actors, technology, rules of game, scenario) and 16 sub-indexes in the design dimension and 4 main components (actors, technology, physical environment, and scenario) and 19 sub-indexes were identified in the execution dimension of the war game.

The present research tries to present an optimal method through the review of selected technical documents in the field of armed forces support as well as the review of mathematical relationships and related standards, which should be followed while ensuring the security and safety of military equipment and weapons that can be carried by train along the scattered geography of the rail network. To provide the possibility of saving costs and improving the level of security of military equipment. The current research, using related mathematical relationships common in static science, aims to present an optimal model for the strength and improvement of the security of weapons and military equipment loaded in military wagons based on comparing external forces in a bare frame for the wagons of a military train. To do, from the methodological point of view, this research presents a stable and implementable algorithm using static equations and conventional application software through computational methods. Using the findings of this research by the military transport team can lead to increasing the life of the belt restraints of the equipment in the military wagon, in addition to improving the safety of the transport of military equipment. One of the important findings of this research is that it is possible to save financial resources allocated for transporting military equipment to operational areas in war zones.Originality: (1) The results of this research are new and do not simply follow anything that has gone before and support the rail space for the transportation of military equipment. (2) This technique is fundamentally new and produces interesting results that can be the basis of researchers' study in future studies

The allocation of limited resources in the military field is an important challenge that seeks to maximize or minimize. Game theory is used to define resources in terms of conflict and definitions. One of the game theory research issues is Blato's Syringe game, which aims to allocate strategic resources.
In this game, two players are given limited resources on a fixed number of battlefields, without knowledge of the opponent's decisions. In this article, this issue is solved by examining the genetic algorithm, which is a meta-heuristic algorithm.
On the other hand, by introducing the brute-force algorithm and solving all situations, a comparison has been made with the genetic algorithm in terms of execution time and optimality of resource allocation. According to the concluded data, the genetic algorithm works in this problem in 47% of the time similar to the brute-force algorithm and in 42% of the time it works better.
Using the Python programming language and the Django software framework, the Colonel Blato game simulator has been designed and implemented on the web platform, which includes user management pages, game creation, game list and game guide. This simulator has the ability to create problems and choose an opponent as another user, random allocation and genetic algorithm.

Search is a problem solving technique in artificial intelligence. Graph search problems are often modeled as graph games between multiple agents. Graph search algorithms are designed with two main applications of graph traversal and finding the shortest path between two vertices of a graph. In this article, first a comprehensive study on search methods has been conducted and then, various route search algorithms have been investigated and compared in order to achieve the most optimal algorithm in finding the shortest route. These algorithms include Dijkstra, A*, and IDA* search algorithms, which have been compared with each other using the three parameters of execution time, time complexity, and space complexity. To carry out investigations, a hypothetical game state (field) was used in two conditions, with and without obstacles, and programming was done using Python programming language. The results show that the Dijkstra algorithm and the A* algorithm have relatively the same time complexity, and the IDA* algorithm is faster than both; Also, the IDA* method occupies less memory than the A* method.

Automatic modulation classification (AMC) is a key technology in modern wireless communication and while facing many challenges, it has attracted wide attention in various fields, especially electronic warfare and military applications. The wireless propagation environment is very complicated due to the existence of wide obstacles and in practice, the channel has a multi-path fading behavior that is not considered in most research. In this research, we use high-order statistics as features for AMC in multi-path fading channels. To increase the classification accuracy, the received samples are divided into smaller segments, and statistics are calculated for each part. For classification, the support vector machine (SVM) with Gaussian kernel is used, and the standard deviation of the kernel is optimized using the particle swarm optimization (PSO) algorithm to maximize the classification accuracy. To evaluate the proposed method, eight commonly used digital modulation types were used. The results show that the number of received samples and also the number of segments affect the correct identification accuracy. Also, optimizing the standard deviation of the kernel improves the accuracy of correct signal identification.Originality: The obtained results show that the proposed method can be used as an effective algorithm to detect the modulation type of digital signals in electronic warfare scenarios and other commercial applications.

The progress of electronic warfare and the possibility of eavesdropping reveal the necessity of establishing direct communication between operational forces on the battlefield. Recently, device-to-device (D2D) communication has been introduced to establish direct communication between users, in which pairs of users can directly exchange data with each other. However, with the increase in the number of pairs, the interference increases, the quality of service decreases, and there is a need for relay nodes to cooperate in D2D communication. In this paper, we consider the data transmission system of several pairs in D2D format, where intermediate nodes, or relays, participate in data transmission. Also, due to the energy supply of the devices by the battery, the maximum data transfer should be performed with the minimum power consumption. The purpose of this paper is to provide a new solution for choosing a relay and transmission power control to maximize energy efficiency. In the proposed method, we allow multiple D2D pairs to use the same relay while D2D pairs use the same channel to increase spectrum utilization. To reduce interference, precoding is used to detect transmissions for each D2D pair and increase system capacity. To evaluate the performance of the proposed method, Monte Carlo simulations have been performed in MATLAB software. The simulations show that the proposed method improves spectral efficiency and energy efficiency and increases system reliability.Originality: The results show that the proposed system can be used as a reliable communication system in the battlefield and wargaming simulations.