Science & Technology Review
|
2019, 37(13): 23-31
• Exclusive: System of Systems Engineering •
A joint operation resource scheduling model by way of genetic fuzzy network
Full
LIU Zhaopeng1,2, SI Guangya1, TANG Yubo1, LIU Shaojun1
Affiliations
1. College of Joint Operation, National Defense University, Beijing 100091, China;
2. Institute of War Studies, Academy of Military Sciences, Beijing 100091, China
Published: 2019-07-13
doi: 10.3981/j.issn.1000-7857.2019.13.003
Outline
Aimed at the resource scheduling in joint operation planning, a reactive scheduling framework based on resource flow is proposed. To tackle the time uncertainty in the scheduling process, a method of fuzzy number modeling is proposed. To deal with the resource uncertainty in the scheduling process, a resource competition method based on double priority is proposed, and the global optimal solution is searched by genetic algorithm. For the problem of mission uncertainty, a reactive robust strategy model is designed. The validity of the model is verified by experiments.
joint operation program
/
resource scheduling under uncertainty
/
genetic fuzzy network
/
multi-station and multi-mode
刘兆鹏, 司光亚, 唐宇波, 柳少军.
联合作战资源调度模型研究.
科技导报,
2019
, 37
(13)
: 23
-31
.
DOI: 10.3981/j.issn.1000-7857.2019.13.003
LIU Zhaopeng, SI Guangya, TANG Yubo, LIU Shaojun.
A joint operation resource scheduling model by way of genetic fuzzy network[J].
Science & Technology Review,
2019
, 37
(13)
: 23
-31
.
DOI: 10.3981/j.issn.1000-7857.2019.13.003
Year 2019 volume 37 Issue 13
PDF
749
392
Cite this Article
BibTeX
Article Info
doi: 10.3981/j.issn.1000-7857.2019.13.003
- Receive Date:2019-02-01
- Online Date:2019-09-05
- Published:2019-07-13