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Intervention decision-making in MAV/UAV cooperative engagement based on human factors engineering 被引量:9

Intervention decision-making in MAV/UAV cooperative engagement based on human factors engineering
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摘要 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 HFE, 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 HFE(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 K-best and variable neighborhood search(VNS) algorithm, a K-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. 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 HFE, 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 HFE(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 K-best and variable neighborhood search(VNS) algorithm, a K-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.
出处 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2018年第3期530-538,共9页 系统工程与电子技术(英文版)
基金 supported by the National Natural Science Foundation of China(61573017) the Doctoral Foundation of Air Force Engineering University(KGD08101604)
关键词 manned/unmanned aerial vehicle(MAV/UAV) intervention decision-making human factors engineering structural description K-best algorithm variable neighborhood search algorithm manned/unmanned aerial vehicle(MAV/UAV) intervention decision-making human factors engineering structural description K-best algorithm variable neighborhood search algorithm
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