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 Zhaopeng, SI Guangya, TANG Yubo, LIU Shaojun
Affiliations
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
751
393
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