Journal of System Simulation ›› 2023, Vol. 35 ›› Issue (3): 470-483.doi: 10.16182/j.issn1004731x.joss.21-0989

• Papers • Previous Articles     Next Articles

Research on Modeling and Solution Method of Operational Tasks Optimization

Yue Ma1,2(), Lin Wu1, Yun Liu2, Guangzhao Ding2   

  1. 1.National Defense University of PLA, Beijing 100091, China
    2.PLA 31002 Troops, Beijing 100091, China
  • Received:2021-09-23 Revised:2021-11-09 Online:2023-03-30 Published:2023-03-22

Abstract:

Aiming at the problem of tasks optimization in operation task planning, this paper defines an operational tasks graph based on property graph and influence network to describe tasks, effects and their relationship. The model of operational tasks optimization is constructed based on the operational tasks graph, and the effect network transmission algorithm and resource constraint judgment algorithm are proposed. The problem is solved by the improved differential evolution algorithm. The experimental result shows that the operational tasks graph can vividly describe the relationship between operational tasks and effects, and the model and solution method are feasible and effective.

Key words: operational tasks optimization, operation task planning, property graph, influence net, differential evolution

CLC Number: