Systems Engineering and Electronics ›› 2026, Vol. 48 ›› Issue (8): 2659-2668.doi: 10.12305/j.issn.1001-506X.2026.08.14
• Systems Engineering • Previous Articles
Multi-platform collaborative robust team formation problem and algorithm
Luohao TANG, Hongtao LEI, Jianmai SHI, Boyang DIAO, Cheng ZHU
- College of Systems Engineering，National University of Defense Technology，Changsha 410073，China
-
Received:2024-12-13Revised:2025-05-16Online:2025-12-04Published:2025-12-04 -
Contact:Luohao TANG
CLC Number:
Cite this article
Luohao TANG, Hongtao LEI, Jianmai SHI, Boyang DIAO, Cheng ZHU. Multi-platform collaborative robust team formation problem and algorithm[J]. Systems Engineering and Electronics, 2026, 48(8): 2659-2668.
share this article
Table 1
Computational result for Data-1 data set"
| M | N | 平均计算时间/s | 平均目标值 | GA Gap | ||||||||||||
| SA | RLS | MRLS | GA | BF | SA | RLS | MRLS | GA | GAbest | BF | Gap1/% | Gap2/% | ||||
| 5 | 15 | 0.2 | 0.1 | 3.6 | 1.3 | 0.3 | 0.0 | 0.0 | ||||||||
| 17 | 0.2 | 0.1 | 3.2 | 1.1 | 2.5 | 0.0 | 0.0 | |||||||||
| 19 | 0.2 | 0.1 | 3.9 | 1.7 | 14.4 | 0.0 | 0.0 | |||||||||
| 21 | 0.2 | 0.1 | 4.2 | 0.9 | 80.1 | 0.0 | 0.0 | |||||||||
| 23 | 0.1 | 0.1 | 4.0 | 1.1 | 565.8 | 0.0 | 0.0 | |||||||||
| 25 | 0.2 | 0.1 | 5.3 | 1.1 | 982.1 | 935.6 | 927.5 | 927.5 | 0.9 | 0.0 | ||||||
| 8 | 15 | 0.2 | 0.1 | 3.6 | 2.1 | 0.6 | 0.0 | 0.0 | ||||||||
| 17 | 0.2 | 0.1 | 4.2 | 2.2 | 2.2 | 0.0 | 0.0 | |||||||||
| 19 | 0.2 | 0.1 | 4.1 | 2.5 | 14.1 | 0.0 | 0.0 | |||||||||
| 21 | 0.2 | 0.1 | 3.5 | 1.2 | 146.3 | 0.0 | 0.0 | |||||||||
| 23 | 0.2 | 0.1 | 4.1 | 1.4 | 611.8 | 998.5 | 998.5 | 998.5 | 0.0 | 0.0 | ||||||
| 25 | 0.2 | 0.1 | 5.6 | 1.9 | 0.0 | 0.0 | ||||||||||
| 11 | 15 | 0.3 | 0.0 | 2.1 | 1.9 | 0.4 | 0.0 | 0.0 | ||||||||
| 17 | 0.2 | 0.1 | 4.3 | 1.6 | 2.6 | 0.0 | 0.0 | |||||||||
| 19 | 0.3 | 0.1 | 5.0 | 2.1 | 9.5 | 0.0 | 0.0 | |||||||||
| 21 | 0.2 | 0.1 | 4.2 | 1.1 | 147.3 | 0.5 | 0.0 | |||||||||
| 11 | 23 | 0.2 | 0.1 | 6.1 | 9.0 | 395.6 | 0.0 | 0.0 | ||||||||
| 25 | 0.2 | 0.1 | 4.1 | 1.1 | 0.8 | 0.0 | ||||||||||
| 14 | 15 | 0.2 | 0.1 | 2.4 | 0.9 | 0.3 | 0.0 | 0.0 | ||||||||
| 17 | 0.2 | 0.1 | 4.2 | 1.5 | 4.6 | 0.8 | 0.0 | |||||||||
| 19 | 0.3 | 0.0 | 3.0 | 1.6 | 2.9 | 0.0 | 0.0 | |||||||||
| 21 | 0.2 | 0.1 | 5.5 | 2.1 | 55.8 | 0.0 | 0.0 | |||||||||
| 23 | 0.2 | 0.1 | 4.3 | 1.4 | 863.7 | 0.5 | 0.0 | |||||||||
| 25 | 0.2 | 0.1 | 5.4 | 1.2 | 876.0 | 876.0 | 876.0 | 0.0 | 0.0 | |||||||
| 17 | 15 | 0.2 | 0.1 | 1.9 | 1.6 | 0.2 | 0.0 | 0.0 | ||||||||
| 17 | 0.3 | 0.0 | 3.0 | 1.4 | 1.5 | 0.0 | 0.0 | |||||||||
| 19 | 0.2 | 0.1 | 4.2 | 2.9 | 16.0 | 0.1 | 0.0 | |||||||||
| 21 | 0.2 | 0.1 | 4.0 | 2.0 | 105.2 | 0.0 | 0.0 | |||||||||
| 23 | 0.2 | 0.1 | 4.6 | 2.8 | 912.0 | 0.0 | 0.0 | |||||||||
| 25 | 0.2 | 0.1 | 6.7 | 4.5 | 0.0 | 0.0 | ||||||||||
| 20 | 15 | 0.2 | 0.1 | 3.5 | 3.0 | 0.7 | 0.0 | 0.0 | ||||||||
| 17 | 0.2 | 0.1 | 2.3 | 1.2 | 1.9 | 0.0 | 0.0 | |||||||||
| 19 | 0.2 | 0.1 | 4.2 | 1.2 | 22.7 | 935.0 | 935.0 | 935.0 | 0.0 | 0.0 | ||||||
| 21 | 0.3 | 0.1 | 2.9 | 2.9 | 20.7 | 0.0 | 0.0 | |||||||||
| 23 | 0.2 | 0.1 | 4.7 | 1.8 | 934.9 | 0.5 | 0.0 | |||||||||
| 25 | 0.2 | 0.1 | 5.6 | 4.2 | 0.0 | 0.0 | ||||||||||
Table 1
Table 2
Computational result for Data-2 data set"
| M | N | 平均计算时间/s | 平均目标值 | GA Gap | ||||||||||||
| SA | RLS | MRLS | GA | BF | SA | RLS | MRLS | GA | GAbest | BF | Gap1/% | Gap2/% | ||||
| 5 | 15 | 0.2 | 0.1 | 3.0 | 1.4 | 0.2 | 0.2 | 0.0 | ||||||||
| 17 | 0.2 | 0.1 | 3.4 | 1.8 | 1.7 | 0.0 | 0.0 | |||||||||
| 19 | 0.2 | 0.1 | 3.4 | 1.3 | 5.7 | 0.0 | 0.0 | |||||||||
| 21 | 0.1 | 0.1 | 3.4 | 0.8 | 76.9 | 0.0 | 0.0 | |||||||||
| 23 | 0.1 | 0.1 | 4.1 | 1.0 | 282.7 | 0.0 | 0.0 | |||||||||
| 25 | 0.2 | 0.1 | 4.6 | 1.7 | 0.0 | 0.0 | ||||||||||
| 8 | 15 | 0.2 | 0.1 | 2.1 | 1.1 | 0.2 | 0.0 | 0.0 | ||||||||
| 17 | 0.2 | 0.0 | 2.4 | 1.2 | 0.9 | 0.0 | 0.0 | |||||||||
| 19 | 0.2 | 0.1 | 3.5 | 1.1 | 12.2 | 0.0 | 0.0 | |||||||||
| 21 | 0.2 | 0.1 | 4.0 | 1.1 | 51.9 | 0.3 | 0.0 | |||||||||
| 23 | 0.2 | 0.1 | 4.6 | 1.5 | 300.6 | 0.0 | 0.0 | |||||||||
| 25 | 0.2 | 0.1 | 4.5 | 1.3 | 3.9 | 0.0 | ||||||||||
| 11 | 15 | 0.1 | 0.1 | 3.0 | 1.1 | 0.6 | 0.0 | 0.0 | ||||||||
| 17 | 0.2 | 0.1 | 3.9 | 1.0 | 1.7 | 0.0 | 0.0 | |||||||||
| 19 | 0.2 | 0.1 | 3.5 | 1.6 | 10.3 | 0.0 | 0.0 | |||||||||
| 21 | 0.2 | 0.1 | 3.5 | 1.1 | 100.5 | 0.0 | 0.0 | |||||||||
| 23 | 0.2 | 0.1 | 4.2 | 2.3 | 292.7 | 0.1 | 0.0 | |||||||||
| 25 | 0.2 | 0.1 | 6.9 | 4.5 | 492.2 | 0.0 | 0.0 | |||||||||
| 14 | 15 | 0.2 | 0.0 | 1.8 | 1.4 | 0.2 | 0.0 | 0.0 | ||||||||
| 17 | 0.2 | 0.0 | 2.2 | 1.2 | 1.1 | 0.0 | 0.0 | |||||||||
| 19 | 0.3 | 0.1 | 3.3 | 3.5 | 2.4 | 0.4 | 0.0 | |||||||||
| 21 | 0.2 | 0.1 | 4.2 | 1.7 | 51.4 | 0.0 | 0.0 | |||||||||
| 23 | 0.2 | 0.1 | 4.7 | 5.0 | 290.6 | 0.0 | 0.0 | |||||||||
| 25 | 0.2 | 0.1 | 5.5 | 1.3 | 0.0 | 0.0 | ||||||||||
| 17 | 15 | 0.2 | 0.1 | 2.5 | 2.0 | 0.3 | 0.0 | 0.0 | ||||||||
| 17 | 0.2 | 0.1 | 3.8 | 1.4 | 2.7 | 0.0 | 0.0 | |||||||||
| 19 | 0.3 | 0.1 | 4.8 | 2.1 | 4.6 | 0.0 | 0.0 | |||||||||
| 21 | 0.2 | 0.1 | 4.1 | 2.2 | 65.1 | 0.0 | 0.0 | |||||||||
| 23 | 0.2 | 0.1 | 5.7 | 1.7 | 314.6 | 0.0 | 0.0 | |||||||||
| 25 | 0.2 | 0.1 | 4.6 | 2.1 | 0.0 | 0.0 | ||||||||||
| 20 | 15 | 0.2 | 0.1 | 3.4 | 2.8 | 0.4 | 0.0 | 0.0 | ||||||||
| 17 | 0.3 | 0.0 | 1.5 | 6.6 | 0.9 | 0.0 | 0.0 | |||||||||
| 19 | 0.3 | 0.1 | 4.4 | 2.4 | 11.8 | 0.0 | 0.0 | |||||||||
| 21 | 0.2 | 0.1 | 5.0 | 2.1 | 31.3 | 0.0 | 0.0 | |||||||||
| 23 | 0.7 | 0.0 | 3.0 | 5.9 | 36.6 | 0.3 | 0.0 | |||||||||
| 25 | 0.2 | 0.1 | 5.1 | 3.5 | 0.0 | 0.0 | ||||||||||
Table 2
Table 3
Computational result for Data-3 data set"
| M | N | 平均计算时间/s | 平均目标值 | Gap/% | ||||||||
| SA | RLS | MRLS | GA | SA | RLS | MRLS | GA | GAbest | ||||
| 30 | 100 | 0.6 | 1.5 | 61.3 | 7.1 | 0.7 | ||||||
| 150 | 0.6 | 1.5 | 86.8 | 3.5 | 0.4 | |||||||
| 200 | 0.6 | 1.2 | 67.6 | 3.2 | 1.7 | |||||||
| 250 | 0.6 | 1.9 | 98.2 | 3.8 | 1.9 | |||||||
| 300 | 0.7 | 2.2 | 127.9 | 3.7 | 0.9 | |||||||
| 350 | 0.7 | 2.8 | 127.7 | 4.0 | 0.6 | |||||||
| 40 | 100 | 0.6 | 0.8 | 45.4 | 3.3 | 0.7 | ||||||
| 150 | 0.7 | 1.6 | 91.4 | 5.0 | 1.1 | |||||||
| 200 | 0.6 | 2.6 | 97.6 | 3.9 | 2.5 | |||||||
| 250 | 0.7 | 2.7 | 126.0 | 4.6 | 2.3 | |||||||
| 300 | 0.6 | 2.4 | 107.7 | 3.6 | 2.6 | |||||||
| 350 | 0.7 | 2.6 | 135.7 | 3.8 | 1.5 | |||||||
| 50 | 100 | 0.7 | 1.6 | 83.4 | 9.7 | 1.1 | ||||||
| 150 | 0.5 | 1.1 | 61.5 | 3.0 | 0.7 | |||||||
| 200 | 0.8 | 2.3 | 104.7 | 4.4 | 1.6 | |||||||
| 250 | 0.7 | 2.0 | 103.7 | 3.8 | 0.5 | |||||||
| 300 | 0.7 | 2.4 | 128.8 | 4.3 | 1.1 | |||||||
| 350 | 0.7 | 2.7 | 125.1 | 3.8 | 1.1 | |||||||
| 60 | 100 | 0.7 | 1.4 | 65.2 | 4.0 | 1.3 | ||||||
| 150 | 0.7 | 2.3 | 100.2 | 3.7 | 0.3 | |||||||
| 200 | 0.7 | 1.7 | 99.8 | 5.1 | 1.9 | |||||||
| 250 | 0.6 | 2.5 | 113.3 | 4.0 | 0.9 | |||||||
| 300 | 0.7 | 3.1 | 134.2 | 4.9 | 1.3 | |||||||
| 350 | 0.8 | 2.2 | 113.5 | 4.5 | 1.2 | |||||||
| 70 | 100 | 0.7 | 1.8 | 93.2 | 16.8 | 0.4 | ||||||
| 150 | 0.7 | 2.2 | 102.3 | 3.9 | 0.2 | |||||||
| 200 | 0.7 | 2.1 | 108.2 | 4.7 | 2.0 | |||||||
| 250 | 0.7 | 2.5 | 129.1 | 4.2 | 3.3 | |||||||
| 300 | 0.7 | 2.3 | 130.1 | 4.0 | 2.2 | |||||||
| 350 | 0.7 | 2.7 | 133.2 | 3.9 | 1.6 | |||||||
| 80 | 100 | 0.8 | 1.7 | 78.5 | 7.2 | 1.4 | ||||||
| 150 | 0.6 | 1.6 | 69.0 | 3.6 | 1.1 | |||||||
| 200 | 0.6 | 2.1 | 90.4 | 3.4 | 1.9 | |||||||
| 250 | 0.7 | 3.0 | 111.2 | 4.1 | 0.9 | |||||||
| 300 | 0.7 | 2.5 | 128.6 | 4.3 | 1.0 | |||||||
| 350 | 0.7 | 2.7 | 146.2 | 4.2 | 1.4 | |||||||
Table 3
Fig.1
Comparison of computational time of BF and GA for Data-1"
Fig.1
Fig.2
Comparison of computational time of BF and GA for Data-2"
Fig.2
Fig.3
GA convergence curve for the instance （M=14, N=25）, averaged by 20 runs"
Fig.3
Fig.4
GA convergence curve for the instance （M=70, N=350）, averaged by 20 runs"
Fig.4
| 1 | DEPTULA D A R, PENNEY H. Mosaic warfare: designing a new way of war to restore america’s military competitiveness[J]. Air Force Magazine, 2019 (11): 51- 55. |
| 2 | CLARK B, PATT D, SCHRAMM H. Mosaic warfare: exploiting artificial intelligence and autonomous systems to implement decision-centric operations[EB/OL]. [2024-11-11]. https://csbaonline.org/research/publications/mosaic-warfareexploiting-artificial-intelligence-and-autonomous-systems-to-implement-decision-centric-operations. |
| 3 | LAPPAS T, LIU K, TERZI E. Finding a team of experts in social networks[C]//Proc. of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2009: 467−476. |
| 4 | MAJUMDER A, DATTA S, NAIDU K V M. Capacitated team formation problem on social networks[C]//Proc. of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012: 1005−1013. |
| 5 | MEHDI K, AIJUN A. Discovering top-k teams of experts with/without a leader in social networks[C]//Proc. of the 20th ACM International Conference on Information and Knowledge Management, 2011. |
| 6 | TANG S J. Profit-driven team grouping in social networks[C]//Proc. of the 31st AAAI Conference on Artificial Intelligence, 2017. |
| 7 | BAGHEL V S, BHAVANI S D. Multiple team formation using an evolutionary approach[C]//Proc. of the 11th International Conference on Contemporary Computing, 2018. |
| 8 | JUÁREZ J, BRIZUELA C A. A multi-objective formulation of the team formation problem in social networks: preliminary results[C]//Proc. of the Genetic and Evolutionary Computation Conference, 2018: 261−268. |
| 9 |
SELVARAJAH K, ZADEH P M, KOBTI Z, et al. A unified framework for effective team formation in social networks[J]. Expert Systems with Applications, 2021, 177, 114886.
doi: 10.1016/j.eswa.2021.114886 |
| 10 |
GÓMEZ-ZARÁ D, DAS A, PAWLOW B, et al. In search of diverse and connected teams: a computational approach to assemble diverse teams based on members’ social networks[J]. PLoS One, 2022, 17 (11): e0276061.
doi: 10.1371/journal.pone.0276061 |
| 11 |
ATEF Y H, BERGMAN D, DAY R. Balancing stability and efficiency in team formation as a generalized roommate problem[J]. Naval Research Logistics, 2023, 70 (1): 72- 88.
doi: 10.1002/nav.22084 |
| 12 | 王伟, 刘付显. 多平台协同作战任务分配模型及算法[J]. 电光与控制, 2017, 24 (12): 11- 15，21. |
| WANG W, LIU F X. Task allocation model and its algorithm for cooperative combat of multiple platforms[J]. Electronics Optics & Control, 2017, 24 (12): 11- 15，21. | |
| 13 | 高程, 都延丽, 步雨浓, 等. 面向复杂多任务的异构无人机集群分组调配[J]. 系统工程与电子技术, 2024, 46 (3): 972- 981. |
| GAO C, DU Y L, BU Y N, et al. Heterogeneous UAV swarm grouping deployment for complex multiple tasks[J]. Systems Engineering and Electronics, 2024, 46 (3): 972- 981. | |
| 14 | KARGAR M, AN A, ZIHAYAT M. Efficient bi-objective team formation in social networks[M]//FLACH P A, DE-BIE T, CRISTIANINI N. Machine Learning and Knowledge Discovery in Databases. Heidelberg: Springer, 2012: 483−498. |
| 15 |
RAHMAN H, ROY S B, THIRUMURUGANATHAN S, et al. Optimized group formation for solving collaborative tasks[J]. The VLDB Journal, 2019, 28 (1): 1- 23.
doi: 10.1007/s00778-018-0516-7 |
| 16 | DORN C, DUSTDAR S. Composing near-optimal expert teams: a trade-off between skills and connectivity[M]//MEERSMAN R, DILLON T, HERRERO P. On the Move to Meaningful Internet Systems: OTM 2010. Heidelberg: Springer, 2010: 472−489. |
| 17 | ESGARIO J G M, SILVA I E D, KROHLING R A. Application of genetic algorithms to the multiple team formation problem[EB/OL]. [2024-11-11]. http: //arxiv.org/abs/1903.03523. |
| 18 | JUÁREZ J, BRIZUELA C A, TERASHIMA-MARÍN H, et al. Recombination operators for the multi-objective team formation problem in social networks[C]//Proc. of the IEEE Congress on Evolutionary Computation, 2024. |
| 19 |
BERKTAŞ N, YAMAN H. A branch-and-bound algorithm for team formation on social networks[J]. INFORMS Journal on Computing, 2021, 33 (3): 1162- 1176.
doi: 10.1287/ijoc.2020.1000 |
| 20 |
MUNIZ M, FLAMAND T. A column generation approach for the team formation problem[J]. Computers & Operations Research, 2024, 161, 106406.
doi: 10.1016/j.cor.2023.106406 |
| 21 |
FATHIAN M, SAEI-SHAHI M, MAKUI A. A new optimization model for reliable team formation problem considering experts’ collaboration network[J]. IEEE Trans. on Engineering Management, 2017, 64 (4): 586- 593.
doi: 10.1109/TEM.2017.2715825 |
| 22 | OKIMOTO T, SCHWIND N, CLEMENT M. How to form a task-oriented robust team[C]//Proc. of the 14th International Conference on Autonomous Agents and Multi-Agent Systems, 2015. |
| 23 | OKIMOTO T, RIBEIRO T, BOUCHABOU D, et al. Mission oriented robust multi-team formation and its application to robot rescue simulation[C]//Proc. of the 25th International Joint Conference on Artificial Intelligence, 2016. |
| 24 | CRAWFORD C, RAHAMAN Z, SEN S. Evaluating the efficiency of robust team formation algorithms[M]//OSMAN N, SIERRA C. Autonomous Agents and Multiagent Systems. Cham: Springer, 2016: 14−29. |
| 25 | 张润德, 蔡伟伟, 杨乐平, 等. 集群航天器鲁棒自适应快速任务分配[J]. 宇航学报, 2023, 44 (8): 1183- 1194. |
| ZHANG R D, CAI W W, YANG L P, et al. Robust adaptive rapid task assignment for spacecraft swarm[J]. Journal of Astronautics, 2023, 44 (8): 1183- 1194. | |
| 26 | 孙昱, 姚佩阳, 孙鹏, 等. 基于鲁棒多目标优化的智能体群组协同任务规划[J]. 控制与决策, 2016, 31 (11): 2045- 2052. |
| SUN Y, YAO P Y, SUN P, et al. Cooperative task scheduling method for agent group using robust multiobjective optimization approach[J]. Control and Decision, 2016, 31 (11): 2045- 2052. | |
| 27 | WOLSEY A L. Integer programming[M]. 2nd ed. Hoboken: John Wiley & Sons Wily, 2021. |
| 28 |
KENNETH S. Metaheuristics—the metaphor exposed[J]. International Transactions in Operational Research, 2015, 22 (1): 3- 18.
doi: 10.1111/itor.12001 |
| 29 |
PÉRICLES B C, MIRANDA M R F, ANDRÉ C A, et al. A multi-objective optimization approach for the group formation problem[J]. Expert Systems with Applications, 2020, 162, 113828.
doi: 10.1016/j.eswa.2020.113828 |
| 30 |
DERELI T, BAYKASOGLU A, DAS G S. Fuzzy quality-team formation for value added auditing: a case study[J]. Journal of Engineering & Technology Management, 2007, 24 (4): 366- 394.
doi: 10.1016/j.jengtecman.2007.09.005 |
| 31 |
ADIL B, TURKAY D, SENA D. Project team selection using fuzzy optimization approach[J]. Cybernetics and Systems, 2007, 38 (2): 155- 185.
doi: 10.1080/01969720601139041 |
| 32 | AVRADEEP B, VIVEK B, DINESH G, et al. Submodularity in team formation problem[C]//Proc. of the SIAM International Conference on Data Mining, 2014: 893−901. |
| 33 | FARASAT A, NIKOLAEV G A. Social structure optimization in team formation[J]. Computers & Operations Research, 2016, 74 (10): 127- 142. |
| 34 | DAS A, GÓMEZ-ZARÁ D, CONTRACTOR N. Forming diverse teams based on members’ social networks: a genetic algorithm approach[J]. Studies in Computational Intelligence, 2021, 944: 346−357. |
| [1] | Ce JI, Linshan WANG, Hui MOU. Underdetermined blind source separation algorithm based on DBSCAN-R [J]. Systems Engineering and Electronics, 2026, 48(5): 1465-1473. |
| [2] | Zicong WANG, Jian ZHANG. Electromagnetic signal no-targeted smooth adversarial attack method based on Jacobian saliency map [J]. Systems Engineering and Electronics, 2025, 47(7): 2127-2135. |
| [3] | Zhen DAI, Qingwei HAN, Pingbo WANG, Wendou JIA. Research on robust detection of weak signals in impulsive noise [J]. Systems Engineering and Electronics, 2025, 47(11): 3551-3558. |
| [4] | Jianguo YIN, Wen SHENG, Wei JIANG. Radar air target recognition based on deep residual shrinkage network [J]. Systems Engineering and Electronics, 2024, 46(9): 3012-3018. |
| [5] | Jiyuan CHEN, Zhenhai XU, Shunping XIAO. Robust interference suppression of wideband irregular subarrayed phased array based on subarray level processing [J]. Systems Engineering and Electronics, 2024, 46(2): 367-380. |
| [6] | Yun ZHONG, Lujun WAN, Peiyang YAO, Jieyong ZHANG. Measurement and optimization of generation and evolution of agile C2 organization [J]. Systems Engineering and Electronics, 2023, 45(4): 1090-1097. |
| [7] | Tianqi ZHANG, Shaopeng YE, Jianxing LIU, Haojun BAI. Frequency centroid zero watermarking algorithm based on Tetrolet transform of color image [J]. Systems Engineering and Electronics, 2023, 45(1): 41-48. |
| [8] | Haoyang LI, Jianjun XIANG, Fang PENG, Shuai WANG, Zhijun LI. Beam space generalized sidelobe canceller algorithm based on particle swarm optimization [J]. Systems Engineering and Electronics, 2022, 44(10): 3037-3045. |
| [9] | Zhirou YANG, Hu ZHANG, Jing LIU, Tonglin LIU. Optimization algorithm of military communication network structure under node attack strategy [J]. Systems Engineering and Electronics, 2021, 43(7): 1848-1855. |
| [10] | Zhe WANG, Jianhua LI, Dong KANG. Robustness of two-layer heterogeneous interdependent network model for networked information system of system [J]. Systems Engineering and Electronics, 2021, 43(4): 961-969. |
| [11] | Chao WANG, Jilian GUO, Anwei SHEN. Analysis of cascading failures of interdependent networks based on asymmetric dependency [J]. Systems Engineering and Electronics, 2020, 42(5): 1093-1101. |
| [12] | Qiao CHEN, Ningning TONG, Xiaowei HU, Shanshan DING. Non-ideal orthogonal waveforms imaging of MIMO radar based on multiple measurement vector block sparse algorithm [J]. Systems Engineering and Electronics, 2020, 42(12): 2747-2754. |
| [13] | CHEN Wu, FAN Mingkai, LI Zehong, JIN Xin, HONG Liang. Design of network robustness for drone swarm system [J]. Systems Engineering and Electronics, 2019, 41(11): 2633-2640. |
| [14] | WANG Ershen, WANG Yuwei, QU Pingping, LAN Xiaoyu, CHEN Jiamei. Effectiveness analysis of complex network edge attack strategy with cost [J]. Systems Engineering and Electronics, 2018, 40(4): 919-926. |
| [15] | XU Qiuping, WANG Xugang, WANG Zhongyuan. Design of attitude decoupling controller for gliding guided projectile based on active disturbance rejection control [J]. Systems Engineering and Electronics, 2018, 40(2): 384-392. |
| Viewed | ||||||
|
Full text |
|
|||||
|
Abstract |
|
|||||