Open Access
Issue
JNWPU
Volume 42, Number 3, June 2024
Page(s) 426 - 434
DOI https://doi.org/10.1051/jnwpu/20244230426
Published online 01 October 2024
  1. MA Shidong, GONG Guanghong, HAN Liang, et al. Hybrid strategy with ant colony and simulated annealing algorithm and its improvement in target assignment[J]. Systems Engineering and Electronics, 2011, 33(5): 1182–1186 [Article] (in Chinese) [Google Scholar]
  2. LIU Shaowei, WANG Jie, YANG Ming, et al. Research of ACO-SA optimization strategy for solving target assignment problem in air-defense C3I system[J]. Systems Engineering and Electronics, 2007, (11): 1886–1890 [Article] (in Chinese) [Google Scholar]
  3. LI K, YAN X, HAN Y. Multi-mechanism swarm optimization for multi-UAV task assignment and path planning in transmission line inspection under multi-wind field[J]. Applied Soft Computing, 2024, 150: 111033 [Article] [CrossRef] [Google Scholar]
  4. NALLOLLA C A, P V, CHITTATHURU D, et al. Multi-objective optimization algorithms for a hybrid AC/DC microgrid using RES: a comprehensive review[J]. Electronics, 2023, 12(4): 1062 [Article] [CrossRef] [Google Scholar]
  5. DOLATNEZHADSOMARIN A, KHORRAM E. Two efficient algorithms for constructing almost even approximations of the Pareto front in multi-objective optimization problems[J]. Engineering Optimization, 2019, 51(4): 567–589 [Article] [CrossRef] [Google Scholar]
  6. FROMER J C, COLEY C W. Computer-aided multi-objective optimization in small molecule discovery[J]. Patterns, 2023, 4(2): 100678 [Article] [CrossRef] [Google Scholar]
  7. KONAK A, COIT D W, SMITH A E. Multi-objective optimization using genetic algorithms: a tutorial[J]. Reliability Engineering & System Safety, 2006, 91(9): 992–1007 [CrossRef] [Google Scholar]
  8. ZHANG Yunfei, LIN Defu, ZHENG Duo, et al. Task allocation and trajectory optimization of uav for multi-target time-space synchronization cooperative attack[J]. Acta Armamentarii, 2021, 42(7): 1482–1495 [Article] (in Chinese) [Google Scholar]
  9. ZHANG M, LI W, WANG M, et al. Helicopter-UAVs search and rescue task allocation considering UAVs operating environment and performance[J]. Computers & Industrial Engineering, 2022, 167: 107994 [CrossRef] [Google Scholar]
  10. QIAN Yanping, XIA Jie, LIU Tianyu. Task assignment scheme based on contract net[J]. Journal of System Simulation, 2011, 23(8): 1672–1676 [Article] (in Chinese) [Google Scholar]
  11. LI Juan, ZHANG Kunyu. Heterogeneous multi-AUV cooperative task allocation based on improved contract net algorithm[J]. Journal of Unmanned Undersea Systems, 2017, 25(6): 418–423 [Article] (in Chinese) [Google Scholar]
  12. LONG Tao, CHEN Yan, SHEN Lincheng. Distributed cooperative mission control based on contract mechanism for multiple unmanned combat aerial vehicles[J]. Acta Aeronautica et Astronautica Sinica, 2007(2): 352–357 [Article] (in Chinese) [Google Scholar]
  13. ZHANG Z, LIU H, WU G. A dynamic task scheduling method for multiple UAVs based on contract net protocol[J]. Sensors, 2022, 22(12): 4486 [Article] [NASA ADS] [CrossRef] [Google Scholar]
  14. CUI H, ZHANG H, ZHOU L, et al. Fuzzy analytic hierarchy process with ordered pair of normalized real numbers[J]. Soft Computing, 2023, 27: 12267–12288 [Article] [CrossRef] [Google Scholar]
  15. LIU P, FU Y, WANG P, et al. Grey relational analysis-and clustering-based opinion dynamics model in social network group decision making[J]. Information Sciences, 2023, 647: 119545 [Article] [CrossRef] [Google Scholar]
  16. MUTHANA S A, KU-MAHAMUD K R. Taguchi-grey relational analysis method for parameter tuning of multi-objective pareto ant colony system algorithm[J]. Journal of Information and Communication Technology, 2023, 22(2): 149–181 [CrossRef] [Google Scholar]
  17. CHEN Zhiwei. Research on the autonomous attack decision of UAVs attack and defense integration[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2011 (in Chinese) [Google Scholar]
  18. LEI J, YANG C, ZHANG H, et al. Radiation shielding optimization design research based on bare-bones particle swarm optimization algorithm[J]. Nuclear Engineering and Technology, 2023, 55(6): 2215–2221 [Article] [CrossRef] [Google Scholar]
  19. CLERC M, KENNEDY J. The particle swarm-explosion, stability, and convergence in a multidimensional complex space[J]. IEEE Trans on Evolutionary Computation, 2002, 6(1): 58–73 [Article] [CrossRef] [Google Scholar]
  20. COELLO C A C, PULIDO G T, LECHUGA M S. Handling multiple objectives with particle swarm optimization[J]. IEEE Trans on Evolutionary Computation, 2004, 8(3): 256–279 [Article] [CrossRef] [Google Scholar]
  21. HAN H, ZHANG L, YING A A, et al. Adaptive multiple selection strategy for multi-objective particle swarm optimization[J]. Information Sciences, 2023, 624: 235–251 [Article] [CrossRef] [Google Scholar]
  22. ERWIN K, ENGELBRECHT A. Multi-guide set-based particle swarm optimization for multi-objective portfolio optimization[J]. Algorithms, 2023, 16(2): 62 [Article] [Google Scholar]
  23. LIN Q, LI J, DU Z, et al. A novel multi-objective particle swarm optimization with multiple search strategies[J]. European Journal of Operational Research, 2015, 247(3): 732–744 [Article] [CrossRef] [Google Scholar]
  24. ZHU Q, LIN Q, CHEN W, et al. An external archive-guided multiobjective particle swarm optimization algorithm[J]. IEEE Trans on Cybernetics, 2017, 47(9): 2794–2808 [Article] [CrossRef] [Google Scholar]
  25. VENGATTARAMAN T, ABIRAMY S, DHAVACHELVAN P, et al. An application perspective evaluation of multi-agent system in versatile environments[J]. Expert Systems with Applications, 2011, 38(3): 1405–1416 [Article] [CrossRef] [Google Scholar]
  26. KODAMA J, HAMAGAMI T, SHINJI H, et al. Multi-agent-based autonomous power distribution network restoration using contract net protocol[J]. Electrical Engineering in Japan, 2009, 166(4): 56–63 [Article] [CrossRef] [Google Scholar]
  27. GU W, LI Y, TANG D, et al. Using real-time manufacturing data to schedule a smart factory via reinforcement learning[J]. Computers & Industrial Engineering, 2022, 171: 108406 [CrossRef] [Google Scholar]
  28. LIU B, DENG M, WU G, et al. Bottom-up mechanism and improved contract net protocol for the dynamic task planning of heterogeneous earth observation resources[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52(10): 6183–6196 [Article] [CrossRef] [Google Scholar]
  29. SAXENA S, FARAG H E Z. Distributed voltage regulation using permissioned blockchains and extended contract net protocol[J]. International Journal of Electrical Power & Energy Systems, 2021, 130: 106945 [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.