.1350· 工程科学学报.第41卷，第10期 rithms.J Beijing Unig Technol,2017,43(1):1 ware /Proceedings of the 50th AlAA/ASME/ASCE/AHS/ASC (段海滨，叶飞.鸽群优化算法研究进展.北京工业大学学 Structures,Structural Dynamics,and Materials Conference.Palm 报，2017,43(1)：1) Springs California,2009:1017 [8]Li C,Duan H B.Target detection approach for UAVs tia im- [12]Bertuccelli L F,How J P.Search for dynamic targets with uncer- proved pigeon-inspired optimization and edge potential function. tain probability maps /2006 American Control Conference.Min- Aerosp Sci Technol,2014,39:352 neapolis,MN,USA,2006:737 [9]Zhong Y,Yao P Y,Sun Y,et al.Method of multi-UAVs coopera- [13]Kirkpatrick S,Gelatt C D,Vecchi M P.Optimization by simula- tive search for Markov moving targets//201729th Chinese Control ted annealing.Science,1983,220(4598):671 And Decision Conference (CCDC).Chongqing,China,2017: [14]Lan K T,Lan C H.Notes on the distinction of Gaussian and 6783 Cauchy mutations//2008 Eighth International Conference on In- [10]Shen D.Wei R X,Ru C J.Digital-pheromone-based control telligent Systems Design and Applications.Kaohsiung,Taiwan, method for UAV swarm search.Syst Eng Electron,2013,35 2008:272 (3):591 [15]Duan H B,Yang Z Y.Large civil aircraft receding horizon con- (沈东，魏瑞轩，茹常剑.基于数字信息素的无人机集群搜 trol based on Cauchy mutation pigeon inspired optimization.Sci 索控制方法.系统工程与电子技术，2013,35(3)：591) Sin Technol,2018,48(3):277 [11]Kalivarapu V,Winer E.Digital pheromone implementation of (段海滨，杨之元.基于柯西变异鸽群优化的大型民用飞机 PSO with velocity vector accelerated by commodity graphics hard- 滚动时域控制.中国科学：技术科学，2018,48(3)：277)工程科学学报,第 41 卷,第 10 期 rithms. J Beijing Univ Technol, 2017, 43(1): 1 (段海滨, 叶飞. 鸽群优化算法研究进展. 北京工业大学学 报, 2017, 43(1): 1) [8] Li C, Duan H B. Target detection approach for UAVs via im鄄 proved pigeon鄄inspired optimization and edge potential function. Aerosp Sci Technol, 2014, 39: 352 [9] Zhong Y, Yao P Y, Sun Y, et al. Method of multi鄄UAVs coopera鄄 tive search for Markov moving targets / / 2017 29th Chinese Control And Decision Conference ( CCDC). Chongqing, China, 2017: 6783 [10] Shen D, Wei R X, Ru C J. Digital鄄pheromone鄄based control method for UAV swarm search. Syst Eng Electron, 2013, 35 (3): 591 (沈东, 魏瑞轩, 茹常剑. 基于数字信息素的无人机集群搜 索控制方法. 系统工程与电子技术, 2013, 35(3): 591) [11] Kalivarapu V, Winer E. Digital pheromone implementation of PSO with velocity vector accelerated by commodity graphics hard鄄 ware / / Proceedings of the 50th AIAA / ASME/ ASCE/ AHS / ASC Structures, Structural Dynamics, and Materials Conference. Palm Springs California, 2009: 1017 [12] Bertuccelli L F, How J P. Search for dynamic targets with uncer鄄 tain probability maps / / 2006 American Control Conference. Min鄄 neapolis, MN, USA, 2006: 737 [13] Kirkpatrick S, Gelatt C D, Vecchi M P. Optimization by simula鄄 ted annealing. Science, 1983, 220(4598): 671 [14] Lan K T, Lan C H. Notes on the distinction of Gaussian and Cauchy mutations / / 2008 Eighth International Conference on In鄄 telligent Systems Design and Applications. Kaohsiung, Taiwan, 2008: 272 [15] Duan H B, Yang Z Y. Large civil aircraft receding horizon con鄄 trol based on Cauchy mutation pigeon inspired optimization. Sci Sin Technol, 2018, 48(3): 277 (段海滨, 杨之元. 基于柯西变异鸽群优化的大型民用飞机 滚动时域控制. 中国科学: 技术科学, 2018, 48(3): 277) ·1350·