Modeling and optimal routing of microbird swarm attacks in network-oriented operations

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.