In order to adapt to the changing battlefield situation and improve the combat effectiveness of air combat, the problem of air battle allocation based on Bayesian optimization algorithm (BOA) is studied. First, we discuss the number of fighters on both sides, and apply cluster analysis to divide our fighter into the same number of groups as the enemy. On this basis, we sort each of our fighters’ different advantages to the enemy fighters, and obtain a series of target allocation schemes for enemy attacks by first in first serviced criteria. Finally, the maximum advantage function is used as the target, and the BOA is used to optimize the model. The simulation results show that the established model has certain decision-making ability, and the BOA can converge to the global optimal solution at a faster speed, which can effectively solve the air combat task assignment problem.
FU Lia (傅 莉), LONG Xia∗ (龙 洗), HE Wenbinb (何文斌)
. Air Combat Assignment Problem Based on Bayesian Optimization Algorithm[J]. Journal of Shanghai Jiaotong University(Science), 2022
, 27(6)
: 799
-805
.
DOI: 10.1007/s12204-021-2270-z
[1] MENG G L, LUO Y Q, LIANG X, et al. Air combat decision-making method based on dynamic Bayesian network [J]. Command Control & Simulation, 2017, 39(3): 49-54 (in Chinese).
[2] LI C L, ZHOU J Z, OUYANG S, et al. Improved decomposition-coordination and discrete differential dynamic programming for optimization of large-scale hydropower system [J]. Energy Conversion and Management, 2014, 84: 363-373.
[3] DONG Y Q, HUANG J, AI J L. Visual perceptionbased target aircraft movement prediction for autonomous air combat [J]. Journal of Aircraft, 2015, 52(2): 538-552.
[4] WU W H, ZHOU S Y, GAO L, et al. Improvements of situation assessment for beyond-visual-range air combat based on missile launching envelope analysis [J]. Journal of Systems Engineering and Electronics, 2011, 33(12): 2679-2685 (in Chinese).
[5] FU Z W, LI Z W, QIANG X M, et al. Tactical decisionmaking method based on receding horizon control for air combat [J]. Electronics Optics & Control, 2013, 20(3): 20-24 (in Chinese).
[6] WANG X G, ZHANG W G, CHEN W. BVR air combat decision making and simulation for UAV formation [J]. Control and Decision, 2015, 30(2): 328-334 (in Chinese).
[7] RAN H M, ZHOU R, WU J, et al. Cooperative guidance of multi-aircraft in beyond-visual-range air combat [J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(10): 1457-1462 (in Chinese).
[8] FENG Q, ZHANG C K, ZHAO H S, et al. Research on methods of air combat threat evaluation under inaccurate information [J]. Flight Dynamics, 2014, 32(5): 477-480 (in Chinese).
[9] CHANG Y Z, LI Z W, YANG H Y, et al. A decisionmaking for multiple target attack based on characteristic of future long-range cooperative air combat [J]. Fire Control & Command Control, 2015, 40(6): 36-40 (in Chinese).
[10] LIU B, CHENG S D, HE J L. Air combat decisionmaking for multi-fighter coordinated attack based on probability collectives [J]. Journal of Shanghai Jiao Tong University, 2011, 45(2): 257-261 (in Chinese).
