1 |
周瑜. 基于联盟形成博弈的任务分配方法研究[D]. 扬州: 扬州大学, 2019.
|
|
ZHOU Y. Research on task allocation method based on coalition formation game[D]. Yangzhou: Yangzhou University, 2019.
|
2 |
谢冰. 分布式异构多智能体系统动态联盟问题研究[D]. 长沙: 国防科技大学, 2019.
|
|
XIE B. Research on dynamic alliance of distributed heteroge-neous multi agent system[D]. Changsha: University of Defense Science and Technology, 2019.
|
3 |
武龙, 许蕴山, 夏海宝, 等. 基于动态联盟的多传感器协同探测与跟踪[J]. 红外技术, 2017, 39 (11): 996- 1000.
|
|
WU L , XU Y S , XIA H B , et al. Multi-sensor cooperative detection and tracking based on dynamic coalition[J]. Infrared Technology, 2017, 39 (11): 996- 1000.
|
4 |
付晓梅, 赵梦微, 李奕, 等. 无人机通信网络动态联盟形成方法[J]. 系统工程与电子技术, 2017, 39 (1): 193- 197.
|
|
FU X M , ZHAO M W , LI Y , et al. Dynamic coalition formation among UCAVs communication networks[J]. Systems Engineering and Electronics, 2017, 39 (1): 193- 197.
|
5 |
郭文忠, 苏金树, 陈澄宇, 等. 无线传感器网络中带复杂联盟的自适应任务分配算法[J]. 通信学报, 2014, 35 (3): 1- 10.
|
|
GUO W Z , SU J S , CHEN C Y , et al. Self-adapted task allocation algorithm with complicated coalition in wireless sensor network[J]. Journal on Communication, 2014, 35 (3): 1- 10.
|
6 |
庞策, 黄树彩, 刘锦昌, 等. 基于博弈论的多传感器交叉提示算法[J]. 系统工程与电子技术, 2017, 39 (8): 1684- 1690.
|
|
PANG C , HUANG S C , LIU J C , et al. Multi-sensor cross cueing algorithm basing on the game theory[J]. Systems Enginee-ring and Electronics, 2017, 39 (8): 1684- 1690.
|
7 |
GUO Q , ZHANG T Y , LI Q . Cooperative tracking technology of single target multi sensor based on cooperative index[J]. Journal of Computational Methods in Sciences and Engineering, 2020,
|
8 |
MINKYU P , HYONDONG O H . Cooperative information-dri-ven source search and estimation for multiple agents[J]. Information Fusion, 2020, 54, 72- 84.
doi: 10.1016/j.inffus.2019.07.007
|
9 |
应圣钢, 孙富春, 胡来红, 等. 基于多目标动态规划的多跑道进港排序[J]. 控制理论与应用, 2010, 27 (7): 827- 835.
|
|
YING S G , SUN F C , HU L H , et al. Multi-objective dynamic programming algorithm for aircraft arrival sequencing and runway sche-duling[J]. Control Theory & Application, 2010, 27 (7): 827- 835.
|
10 |
ZHAO H , CHEN Z G , ZHAN Z H , et al. Multiple populations co-evolutionary particle swarm optimization for multi-objective cardinality constrained portfolio optimization problem[J]. Neurocomputing, 2021, 430, 58- 70.
doi: 10.1016/j.neucom.2020.12.022
|
11 |
AGRAWAL R K , KAUR B , AGARWAL P . Quantu minspired particle swarm optimization with guided exploration for function optimization[J]. Applied Soft Computing, 2021, 102, 107122.
doi: 10.1016/j.asoc.2021.107122
|
12 |
HE W J , QI X G , LIU L F . A novel hybrid particle swarm optimization for multi-UAV cooperate path planning[J]. Applied Intelligence, 2021, 51, 7350- 7364.
doi: 10.1007/s10489-020-02082-8
|
13 |
庞策, 黄树彩, 刘锦昌, 等. 多传感器交叉提示技术在目标检测中的应用[J]. 武汉大学学报(工学版), 2019, 52 (4): 358- 362.
|
|
PANG C , HUANG S C , LIU J C , et al. Application of multi-sensor cross cueing technology to target detecting[J]. Engineering Journal of Wuhan University, 2019, 52 (4): 358- 362.
|
14 |
庞策, 黄树彩, 刘锦昌, 等. 多传感器交叉提示技术在传感器联盟中的应用[J]. 西安交通大学学报, 2017, 51 (7): 148- 155.
|
|
PANG C , HUANG S C , LIU J C , et al. Application of multi-sensor cross cueing technology in sensor alliance[J]. Journal of Xi'an Jiaotong University, 2017, 51 (7): 148- 155.
|
15 |
LIU B D . Uncertainty theory[M]. Berlin: Springer, 2004.
|
16 |
LIU B D . Uncertain set theory and uncertain inference rule with application to uncertain control[J]. Journal of Uncertain Systems, 2010, 4 (2): 83- 98.
|
17 |
ZHU Y G . Functions of uncertain variables and uncertain programming[J]. Journal of Uncertain Systems, 2012, 6 (4): 278- 288.
|
18 |
LIU Y H . Uncertain random programming with applications[J]. Fuzzy Optimization and Decision Making, 2013, 12 (2): 153- 169.
doi: 10.1007/s10700-012-9149-2
|
19 |
LIU F Z , XIAO B , LI H . Finding key node sets in complex networks based on improved discrete fireworks algorithm[J]. Journal of Systems Science and Complexity, 2021, 34, 1014- 1027.
doi: 10.1007/s11424-020-9023-1
|
20 |
邹适宇, 李复名, 谢爱平, 等. 基于改进烟花算法的资源分配研究[J]. 航空学报, 2021, 42 (12): 258- 266.
|
|
ZOU S Y , LI F M , XIE A P , et al. Research on resource allocation based on improved fireworks algorithm[J]. Acta Aeronautica et Astronautica Sinica, 2021, 42 (12): 258- 266.
|
21 |
段娇娇, 曲强, 高闯, 等. 基于Lévy flight的自适应动态增强烟花算法[J]. 计算机应用研究, 2018, 35 (10): 3011- 3015.
doi: 10.3969/j.issn.1001-3695.2018.10.030
|
|
DUAN J J , QU Q , GAO C , et al. Adaptive dynamic enhanced fireworks algorithm based on Lévy flight[J]. Application Research of Computers, 2018, 35 (10): 3011- 3015.
doi: 10.3969/j.issn.1001-3695.2018.10.030
|
22 |
田桂林, 刘昌云, 高嘉乐, 等. 基于烟花算法的多传感器优化模型部署[J]. 系统工程与电子技术, 2019, 41 (8): 1742- 1748.
|
|
TIAN G L , LIU C Y , GAO J L , et al. Multi-sensor optimal disposition model based on fireworks algorithm[J]. Systems Enginee-ring and Electronics, 2019, 41 (8): 1742- 1748.
|