Research on Modeling and Solution Method of Operational Tasks Optimization

Authors

Yue Ma, 1.National Defense University of PLA, Beijing 100091, China;2.PLA 31002 Troops, Beijing 100091, China;Follow
Lin Wu, 1.National Defense University of PLA, Beijing 100091, China;
Yun Liu, 2.PLA 31002 Troops, Beijing 100091, China;
Guangzhao Ding, 2.PLA 31002 Troops, Beijing 100091, China;

Abstract

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.

Recommended Citation

Ma, Yue; Wu, Lin; Liu, Yun; and Ding, Guangzhao (2023) "Research on Modeling and Solution Method of Operational Tasks Optimization," Journal of System Simulation: Vol. 35: Iss. 3, Article 3.
DOI: 10.16182/j.issn1004731x.joss.21-0989
Available at: https://dc-china-simulation.researchcommons.org/journal/vol35/iss3/3

First Page

470

Revised Date

2021-11-09

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-0989

Last Page

483

CLC

TP301.6

Recommended Citation

Yue Ma, Lin Wu, Yun Liu, Guangzhao Ding. Research on Modeling and Solution Method of Operational Tasks Optimization[J]. Journal of System Simulation, 2023, 35(3): 470-483.

DOI

10.16182/j.issn1004731x.joss.21-0989