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Acta Armamentarii ›› 2023, Vol. 44 ›› Issue (5): 1431-1442.doi: 10.12382/bgxb.2022.0007

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Task Assignment and Optimization Method of Tactical-Level Army Operations

DU Weiwei1,2, CHEN Xiaowei3,4,*()   

  1. 1 School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China
    2 North Automatic Control Technology Institute, Taiyuan 030006, Shanxi, China
    3 State Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, Beijing 100081, China
    4 Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing 100081, China
  • Received:2022-01-04 Online:2022-06-01
  • Contact: CHEN Xiaowei

Abstract:

There has been a large number of studies on combat task assignment. However, only a few of them have focused on army force efficiency. This work attempts to address the problem of general combat task assignment from the standpoint of army force utilization. First, the army force is described using single units and compound units in a standardized manner. Second, resource demand analysis is performed and potential resources needed for each task are listed. A mapping relationship is established between the resource and the army force. Then, we formulate the task combination problem and the force dividing code to computational functions mathematically, and introduce the multi-objective optimization method and genetic algorithm to find the optimum task assignment solution. The method is validated using a landing battle example, and the experimental results demonstrate the effectiveness and efficiency of the proposed method.

Key words: mission planning, operational task assignment, multi-objective optimization, fuzzy logic, genetic algorithm