Open AccessDynamic task assignment method based on NSGA-II algorithm in command and control field
Author(s) -
Yichao He,
Xun Wang,
Zhiqiang Jiao,
Jieyong Zhang
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1411/1/012004
Subject(s) - task (project management) , computer science , adaptability , field (mathematics) , benchmark (surveying) , pareto principle , control (management) , algorithm , multi objective optimization , assignment problem , mathematical optimization , artificial intelligence , engineering , machine learning , mathematics , ecology , systems engineering , geodesy , pure mathematics , biology , geography
In order to improve the adaptability of command and control organizations to complex operational environments and effectively solve the unexpected events that may be encountered in the operation of C2 organizations, this paper studies the dynamic task assignment of C2 organizations and proposes multi-objective tasks assignment method based on NSGA-II algorithm. Firstly, two kinds of emergencies such as platform damage and task increase in the course of combat are analyzed, and the mathematical expression method is given. Secondly, a multi-objective optimization model aiming at maximizing task completion quality and minimizing plan adjustment cost is constructed. And the adaptive NSGA-II algorithm is designed to solve the model. Finally, the simulation experiment shows that the constructed model can effectively deal with the above-mentioned emergencies, and the designed algorithm can obtain the better Pareto frontier and realize the dynamic task assignment.