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The formation of the manned aerial vehicle/unmanned aerial vehicle (MAV/UAV) task coalition is considered. To reduce the scale of the problem, the formation progress is divided into three phases. For the task clustering phase, the geographical position of tasks is taken into consideration and a cluster method is proposed. For the UAV allocation phase, the UAV requirement for both constrained and unconstrained resources is introduced, and a multi-objective optimal algorithm is proposed to solve the allocation problem. For the MAV allocation phase, the optimal model is firstly constructed and it is decomposed according to the ideal of greed to reduce the time complexity of the algorithm. Based on the above phases, the MAV/UAV task coalition formation method is proposed and the effectiveness and practicability are demonstrated by simulation examples. [ABSTRACT FROM AUTHOR]

Platform planning is one of the important problems in the command and control (C2) field. Hereto, we analyze the platform planning problem and present nonlinear optimal model aiming at maximizing the task completion qualities. Firstly, we take into account the relation among tasks and build the single task nonlinear optimal model with a set of platform constraints. The Lagrange relaxation method and the pruning strategy are used to solve the model. Secondly, this paper presents optimization-based planning algorithms for efficiently allocating platforms to multiple tasks. To achieve the balance of the resource assignments among tasks, the m-best assignment algorithm and the pair-wise exchange (PWE) method are used to maximize multiple tasks completion qualities. Finally, a series of experiments are designed to verify the superiority and effectiveness of the proposed model and algorithms. [ABSTRACT FROM AUTHOR]

Manned combat aerial vehicles (MCAVs), and unmanned combat aerial vehicles (UCAVs) together form a cooperative engagement system to carry out operational mission, which will be a new air engagement style in the near future. On the basis of analyzing the structure of the MCAV/UCAV cooperative engagement system, this paper divides the unique system into three hierarchical levels, respectively, i.e., mission level, task-cluster level and task level. To solve the formation and adjustment problem of the latter two levels, three corresponding mathematical models are established. To solve these models, three algorithms called quantum artificial bee colony (QABC) algorithm, greedy strategy (GS) and two-stage greedy strategy (TSGS) are proposed. Finally, a series of simulation experiments are designed to verify the effectiveness and superiority of the proposed algorithms. [ABSTRACT FROM AUTHOR]

Aiming at the intervention decision-making problem in manned/unmanned aerial vehicle (MAV/UAV) cooperative engagement, this paper carries out a research on allocation strategy of emergency discretion based on human factors engineering (HFE). Firstly, based on the brief review of research status of FIFE, it gives structural description to emergency in the process of cooperative engagement and analyzes intervention of commanders. After that, constraint conditions of intervention decision-making of commanders based on FIFE (IDMCBHFE) are given, and the mathematical model, which takes the overall efficiency value of handling emergencies as the objective function, is established. Then, through combining Af-best and variable neighborhood search (VNS) algorithm, a lY-best optimization variable neighborhood search mixed algorithm (KBOVNSMA) is designed to solve the model. Finally, through three groups of simulation experiments, effectiveness and superiority of the proposed algorithm are verified. [ABSTRACT FROM AUTHOR]