نشریه فرماندهی و کنترل
سال سوم شماره 4 (پیاپی 10، زمستان 1398)

War game as an analytical method and tool has enabled commanders and managers to get optimal decisions. Therefore, the role of the war in the various fields of "military, economic, political, social and cultural, etc." is to choose the best of its own course of action against threats or, in other words, good decision-making. War game is a process with clear rules and steps that attempt to visualize the flow of the mission on the part of its own forces, and this process identifies and takes notice the capabilities, strengths and weaknesses and capabilities and possible course of action of friendly and enemy forces in a sequence of action, reaction, and counteraction. The war game is the most valuable step in exploring and analyzing the way in operational estimation. The war game process tests a solution or modifies a formed course of action. The purpose of this paper is to present a process model of the war game in command and control and to develop a standardized approach to the unity of practice in doing so. Undoubtedly, decision-making and planning, which are critical steps in command and control, will be effective once you have used the war game. The research method used in this paper was library and documentary study and utilization of credible scientific resources, expertise point of view throughout deep interview. Ultimately, the process model of the war game is designed in command and control.

The electricity market in the world today is scientifically recognized and it is becoming more competitive every day. In the meantime, the price forecasting tool helps market participants gain more profit. The purpose of the present study is to extend the neural network and optimize it by gray wolf algorithm to predict electricity market price. Since traditional and neural network models have always used probabilistic methods to increase prediction accuracy, this model has tried to ignore these by introducing a new method to require less time for prediction. One of the issues that always affects the prediction accuracy is the existence of critical and sudden cases in the system, which will be controlled in this research using efficient methods. The proposed model uses Nordic electricity market information, but it is obviously applicable to any other market. Finally, to illustrate the accuracy of this model, a comparison is made between it and one of the traditional methods.

Complex network is a graph with non-significant topological features that does not occur in simple networks such as regular or random graphs but often happens in modeling of real systems so social networks, brain networks and global Internet network can be mentioned. Many organizations, large-scale networks, as well as various sciences, present them in the form of complex networks to analyze and analyze their topics, reproducing and refining their systems using algorithms that simulate real-world behavior. Assess. With the introduction of new technologies in the field of command and control systems, more and more systems have been required to work, which will accelerate decisions related to command and control by establishing information flows and parallel processing. The design of such systems and their management requires organizational architecture that, in addition to changing the status quo, facilitates the adaptation of information systems to the goals of command and control. One of these complex systems is the human brain and how it is commanded and controlled in the human body, which is one of the wonders of creation. This system is the most complex network that human beings have studied in this field today. The specific integration of this network has several features that can help us in various fields in complex systems. The main reason for everyonechr('39')s attention to the brain network is the strength and resilience of this network, which is the main purpose of this study. In this paper, by analyzing the brain network in both normal and patient modes, a model of this network is designed and by considering the growth algorithm and strength and resilience criteria in complex networks, a new architecture is presented to design the command and control network. In the face of a variety of attacks, localized attacks are more robust and more resilient. The designed architecture of the command and control network is measured at 5 levels. The networkchr('39')s special connectivity has led to strong and resilient networks.

One of the major challenges in cyber space is the existence of fake or phishing pages that needs the attention of command control systems. In phishing attacks, people are directed to fake pages and their important information is stolen by a thief or phisher. Machine learning and data mining algorithms are the widely used algorithms for phishing websites classification. Feature selection has a great influence on the classification results. In this research, an improved spotted Hyena optimization algorithm (ISHOA) is proposed to select appropriate features for classifying phishing websites through artificial neural network. The proposed ISHOA outperformed the standard spotted Hyena optimization algorithm with 98.64% better accuracy. In addition, the results indicate the superiority of ISHOA to three other meta-heuristic algorithms including: particle swarm optimization, firefly algorithm, and bat algorithm. The proposed algorithm is also compared with a number of classification algorithms proposed before on the same dataset and its dominance is showed.

In addition to initial roles in the form of operational readiness for defensive battles, military organizations should be able to explore new ways and technologies for one to one with regard to the dynamic environment they face. This requires careful strategic planning and simultaneous use of the two capabilities of exploration and exploitation in these organizations. Strategic dynamics in such a situation require organizational learning in both dimensions of exploration and for profit. According to the importance of strategy field in defensive organizations, this study focuses on a conceptual explanation for ambivalent strategic learning in the air defense Headquarters Khatam-All-Anbiya and is trying to explain the concept of ambivalent strategic learning. The method of doing qualitative research was used to collect data from library and field method (interviews with experts in research field). The research community of experts in air defense Headquarters Khatam-All-Anbiya and faculty members of universities in Tehran are related to the background of research in the field of learning and education.In order to select the experts for interviews and identify components, the purposeful sampling method was used.The Questionnaire was completed with the help of guidance professors and consultants and interviews conducted to complete interviews and saturation of the interviews with the presence of experts and then with the content analysis method and the three coding stages, the strategic learning pattern was developed which includes components and strategic learning processes of ambivalent. It can serve as a basis for the design of education and learning in military centers.

Investigating the nature of military threats, the results of recent wars in the world and the West Asian region, the increasing progress of military technologies, especially in the field of aerospace technology, the need for scientific attention to air defense and its combat power upgrading to cope with air threats Has made it inevitable. Combat power has three physical, non-physical and superior dimentions, which later play a prominent role in the combat power of the Armed Forces, including air defense. The aim of the research is to identify and explain the most important components of the superior dimension as well as to explain the role of the command and control component in upgrading the air defense combat power. The research is of applied-developmental type and its approach is mixed and case-field method has been used. in this study, theories of combat power, internal environment and in comparative studies the most important components of air defense of six foreign countries studied, for further enrichment of research with a number of experts in the field of air defense interviews have been conducted. The result of the research is the explanation and identification of 6 important components (including the command and control component) with 37 indicators of the superior dimension that have a significant impact on upgrading the combat power of air defense.