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ORCIDLing Wu 0003
Person information
- affiliation: Naval University of Engineering, College of Weapon Engineering, Wuhan, China
- affiliation (PhD): Tsinghua University, Beijing, China
Other persons with the same name
- Ling Wu — disambiguation page
- Ling Wu 0001 — SEI/IRESTE, Nantes, France
- Ling Wu 0002 — Memorial University of Newfoundland, Saint John's, Canada
- Ling Wu 0004
![[0000-0003-1712-191X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-1712-191X")
— China University of Geoscience (Beijing), School of Information Engineering, China - Ling Wu 0005 — Nanjing University of Aeronautics and Astronautics, College of Automation Engineering, China
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2020 – today
- 2024
[j4]Guang Yang, Faxing Lu, Junfei Xu, Ling Wu, Yiyuan Li:
Research on Encounter Probability Between a Supercavitating Vehicle and a Target Based on Path Planning. IEEE Access 12: 9497-9509 (2024)- 2022
- [j3]Haoran Shi, Faxing Lu, Ling Wu, Guang Yang:
Optimal trajectories of multi-UAVs with approaching formation for target tracking using improved Harris Hawks optimizer. Appl. Intell. 52(12): 14313-14335 (2022)
2010 – 2019
- 2010
- [j2]Faxing Lu, Ling Wu:
Calculation of the probability density function of the target location error in bi-station bearing-crossing locating. Int. J. Model. Identif. Control. 10(1/2): 147-151 (2010)
2000 – 2009
- 2009
- [j1]Ling Wu, Faxing Lu:
Research on the Algorithms for Registration in Sensor Network for Target Tracking. Int. J. Distributed Sens. Networks 5(1): 41 (2009) - 2008
- [c3]Ling Wu, Hang-yu Wang, Faxing Lu, Peifa Jia:
An anytime algorithm based on modified GA for dynamic weapon-target allocation problem. IEEE Congress on Evolutionary Computation 2008: 2020-2025 - [c2]Ling Wu, Changfeng Xing, Faxing Lu, Peifa Jia:
An anytime algorithm applied to dynamic weapon-target allocation problem with decreasing weapons and targets. IEEE Congress on Evolutionary Computation 2008: 3755-3759 - 2007
- [c1]Ling Wu, Faxing Lu, Peifa Jia:
Research on the applications of the genetic algorithm to sensor registration. IEEE Congress on Evolutionary Computation 2007: 4405-4409
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