卫星自主与协同任务调度规划综述
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摘要
如何利用有限的星上资源执行复杂繁重的空间任务长期以来备受关注,随着卫星载荷能力不断提升,响应时间要求不断缩短,卫星自主与协同任务调度规划研究的重要性逐渐增大.本文从单星任务调度规划为起点,对单星地面离线任务调度规划、单星星上在线任务调度规划、单星星地一体化自主任务调度规划研究现状进行梳理与分析,然后延展至多星领域,综述了多星地面离线协同任务调度规划、多星星上在线协同任务调度规划、多星星地一体协同任务调度规划研究现状.最后,对卫星自主与协同任务调度规划研究进行了总结与展望.
How to make use of limited resources on a satellite for complex and heavy space tasks has attracted much attention. With the continuous improvement on satellite load capacity and reduction of response time requirements,the importance of satellite autonomous and collaborative task scheduling research has gradually increased. This paper starts with the research status of single-satellite task schedule planning. From single-satellite ground off-line task schedule planning and online task schedule planning, this paper analyzes the research on single-satellite integrated autonomous task schedule planning, then extends up to the present situation of satellite task schedule planning research including multiple-satellite ground offline collaborative task schedule plan and satellite onboard collaborative task schedule plan.Finally, the research on satellite autonomous and collaborative task scheduling is prospected.
How to make use of limited resources on a satellite for complex and heavy space tasks has attracted much attention. With the continuous improvement on satellite load capacity and reduction of response time requirements,the importance of satellite autonomous and collaborative task scheduling research has gradually increased. This paper starts with the research status of single-satellite task schedule planning. From single-satellite ground off-line task schedule planning and online task schedule planning, this paper analyzes the research on single-satellite integrated autonomous task schedule planning, then extends up to the present situation of satellite task schedule planning research including multiple-satellite ground offline collaborative task schedule plan and satellite onboard collaborative task schedule plan.Finally, the research on satellite autonomous and collaborative task scheduling is prospected.
引文
1 Jiang Wei, Hao Hui-Cheng, Li Yi-Jun. Review of task scheduling research for the Earth observing satellites. Systems Engineering&Electronics, 2013, 35(9):1878-1885(姜维,郝会成,李一军.对地观测卫星任务规划问题研究述评.系统工程与电子技术2013,35(9):1878-1885)
2 Wu G H, Liu J, Ma M H, Qiu D S. A two-phase scheduling method with the consideration of task clustering for earth observing satellites. Computers&Operations Research, 2013, 40(7):1884-1894
3 Wu G H, Wang H L, Li H F, Pedrycz W, Qiu D S, Ma M H,et al. An adaptive Simulated Annealing-based satellite observation scheduling method combined with a dynamic task clustering strategy. eprint arXiv:1401.6098, 2014
4 Tangpattanakul P, Jozefowiez N, Lopez P. A multi-objective local search heuristic for scheduling Earth observations taken by an agile satellite. European Journal of Operational Research, 2015, 245(2):542-554
5 Gabrel V, Vanderpooten D. Enumeration and interactive selection of efficient, paths in a multiple criteria graph for scheduling an earth observing satellite. European Journal of Operational Research, 2002, 139(3):533-542
6 Sarkheyli A, Vaghei B G, Moghadam R A, Bagheri A.Scheduling earth observation activities in LEO satellites using graph coloring problem. In:Proceedings of the 5th International Symposium on Telecommunications. Tehran, Iran:IEEE, 2010. 928-931
7 Augenstein S. Optimal scheduling of earth-imaging satellites with human collaboration via directed acyclic graphs.Journal of Experimental Psychology, 2014, 38(3):338-346
8 Wolfe W J, Sorensen S E. Three scheduling algorithms applied to the earth observing systems domain. Management Science, 2000, 46(1):148-166
9 Vasquez M, Hao J K. A"Logic-Constrained"knapsack formulation and a Tabu algorithm for the daily photograph scheduling of an earth observation satellite. Computational Optimization&Applications, 2001, 20(2):137-157
10 Gabrel V, Murat C. Mathematical programming for earth observation satellite mission planning. Operations Research in Space and Air. Boston, MA:Springer, 2003. 103-122
11 Spangelo S, Cutler J, Gilson K, Cohn A. Optimization-based scheduling for the single-satellite, multi-ground station communication problem. Computers&Operations Research,2015, 57:1-16
12 Wang P, Reinelt G, Gao P, Tan Y J. A model, a heuristic and a decision support system to solve the scheduling problem of an earth observing satellite constellation. Computers&Industrial Engineering, 2011, 61(2):322-335
13 Ran Cheng-Xin, Xiong Gang-Yao, Wang Hui-Lin, Qiu DiShan. Study of electronic reconnaissance satellites mission scheduling model and algorithm. Communication Countermeasures,2009,(1):3-8, 13(冉承新,熊纲要,王慧林,邱涤珊.电子侦察卫星任务规划调度模型与算法研究.通信对抗,2009,(1):3-8, 13)
14 Gu Zhong-Shun, Chen Ying-Wu. MIP model and algorithm for resolving scheduling of Earth observation satellites. Journal of Spacecraft TT&CTechnology. 2007, 26(1):19-24(顾舜,陈英武,对地观测度的混合数规划模及求解,行器测学报,2007, 26(1):19-24)
15Wang X W, Chen Z, Han C. Scheduling for single agile satellite, redundant targets problem using complex networks theory. Chaos, Solitons&Fractals, 2016, 83:125-132
16 Yu Xing-Biao, Zheng Chang-Wen, Hu Xiao-Hui, Zhao JunSuo.A hybrid fault-tolerant scheduling algorithm for multiprocessor in space environment. Journal of Astronautics,2013, 34(6):808-817(兴标,郑文,胡晓惠,赵军锁,空间环境的多处理器混合调度法,宇航学报,2013, 34(6):808-817)
17 Chen Ji-Zhou, Wang Jun, Li Jun, Jing Ning. Research伽comprehensive evaluation technology of satellite mission schedule algorithm. Computer Engineering, 2009, 35(20):59-61, 65(陈济舟钧,,景宁.任务规划算法综评价技术研究,计算机丁程,2009, 35(20):59-61, 65)
18 Chien S, Rabideau G, Knight R, Sherwood R, Engelhardt B,Mutz D, et al. ASPEN-automated planning and scheduling for space mission operations. In:SpaceOps 2000. France,2000.
19 Cesta A, Fratini S, Donati A, Oliveira H, Policella N. Rapid prototyping of planning&scheduling tools. In:Proceedings of the 3rd IEEE International Conference on Space Mission Challenges for Information Technology. Pasadena, CA,USA:IEEE, 2009. 270-277
20 Bresina J L, Jonsson A K, Morris P H, Rajan K. Mixedinitiative planninginMAPGEN:capabilities and shortcomings. In:Proceedings of the ICAPS-05 Workshop on Mixedinitiative Planning and Scheduling. Monterey, CA, United States, 2005.
21 Zhao Ping, Chen Zhi-Ming. An adapted genetic algorithm applied to satellite autonomous task scheduling. Chinese Space Science and Technology, 2016, 36(6):47-54(萍,陈志明.用卫自任务调度的改进遗传算法.空间科学技术,2016, 36(6):47-54)
22 Chen Hao, Li Jun, Jing Ning, Liu Xiang-Hui, Tang Yu.Scheduling model and algorithms for autonomous electromagnetic detection satellites. Acta Aeronautica Et.Astronautica Sinica, 2010, 31(5):1045-1053(陈浩,李,景宁,刘湘辉,唐宁.电磁探规划模型及优化算法,航空学报,2010, 31(5):1045-1053)
23 Chien S, Sherwood R, Rabideau G, Castano R, Davies A,Burl M, et al. The Techsat-21 autonomous space science agent. In:Proceedings of the lst International Joint Conference on Autonomous Agents and Multiagent Systems.Bologna, Italy:ACM, 2002. 570-577
24 Chien S, Engelhardt B, Knight R, Rabideau G. Sherwood R. Onboard autonomy on the three corner sat mission. In:Proceedings of the 6th International Symposium on Artifical Intelligence, Robotics and Automation in Space. Montreal,Quebec, Canada, 2001.
25 Chien S, Sherwood R, Tran D, Cichy B, Rabideau G, Castano R. et al. Using autonomy fiight software to improve science return on earth observing one. Journal of Aerospace Computing, Information,&Communication, 2005, 2(4):196-216
26 Khatib L, Frank J, Smith D E, Morris R, Dungan J, Technology K. Interleaved observation execution and rescheduling.In:Proceedings of the Icaps-03 Workshop on Plan Execution. Moffett Field, CA, United States, 2003.
27 Damiani S, Verfaillie G, Charmeau M C. An anytime planning approach for the management of an earth watching satellite. In:Proceedings of the 4th International Workshop on Planning and Scheduling for Space(IWPSS-04), Darmstadt, Germany, 2004.
28 Bai Bao-Cun, He Ren-Jie, Li Ju-Fang, Chen Ying-Wu.Satellite orbit task merging problem and its dynamic programming algorithm. Systems Engineering&Electronics,2009, 31(7):1738-1742(白保存,贺仁杰,李菊芳,陈英武.卫星单轨任务合成观测问题及其动态规划算法.系统工程与电子技术,2009, 31(7):1738-1742)
29 Wang J J, Demeulemeester E, Qiu D S. A pure proactive scheduling algorithm for multiple earth observation satellites under uncertainties of clouds. Computers&Operations Research, 2016, 74:1-13
30 Liu Yang, Chen Ying-Wu, Tan Yue-Jin. Mission planning method of the satellite ground station based on the greedy algorithm. Systems Engineering&Electronics, 2003,25(10):1239-1241(刘洋,陈英武,谭跃进.基于贪婪算法的卫星地面站任务规划方法.系统工程与电子技术,2003, 25(10):1239-1241)
31 Bianchessi N, Cordeau J F, Desrosiers J, Laporte G, Raymond V. A heuristic for the multi-satellite, multi-orbit and multi-user management of Earth observation satellites.European Journal of Operational Research, 2007, 177(2):750-762
32 Lin W C, Liao D Y, Liu C Y, Lee Y Y. Daily imaging scheduling of an Earth observation satellite. IEEE Transactions on Systems, Man, and Cybernetics—Part A:Systems and Humans, 2005, 35(2):213-223
33 Chen H, Wu J J, Shi W Y. Coordinate scheduling approach for EDS observation tasks and data transmission jobs. Journal of Systems Engineering and Electronics, 2016, 27(4):822-835
34 Zhang D Y, Guo L, Cai B, Sun N, Wang Q. A hybrid discrete particle swarm optimization for satellite scheduling problem.In:Proceedings of the 2011 IEEE Conference Anthology.China:IEEE, 2011. 1-5
35 Wu J G, Wang S, Li Y, Dou C P, Hu J. Application of differential evolution algorithm in multi-satellite monitoring scheduling. In:Proceedings of the 27th Conference of Spacecraft TT&C Technology in China. Lecture Notes in Electrical Engineering, vol. 323. Berlin, Heidelberg:Springer, 2015.347-357
36 Pi Ben-Jie, Zhai Shu-Bao. Quick optimal schedule method of onboard and ground resources for signal collection satellite system. Journal of Astronautics, 2016, 37(3):348-356(皮本杰,翟淑宝.信号采集卫星系统星地资源快速调度优化方法.宇航学报,2016, 37(3):348-356)
37 Yan Zhen-Zhen, Chen Ying-Wu, Xing Li-Ning, Agile satellite scheduling based on improved ant colony algorithm. Systems Engineering-Theory&Practice,2014, 34(3):793-801(严珍珍,陈英武,邢立宁.基于改进蚁群算法设计的敏捷卫星调度方法.系统工程理论与实践,2014, 34(3):793-801)
38 Zhuang S F, Yin Z D, Wu Z L, Shi Z G. The relay satellite scheduling based on artificial bee colony algorithm. In:Proceedings of the International Symposium on Wireless Personal Multimedia Communications(WPMC). Sydney,NSW, Australia:IEEE, 2015. 635-640.
39 Johnston M D. Spike:AI scheduling for NASA's Hubble Space Telescope. In:Proceedings of the 6th Artificial Intelligence Applications. Santa Barbara, CA, USA:IEEE, 1990.184-190
40 Beaumet G, Verfaillie G, Charmeau M C. Estimation of the minimal duration of an attitude change for an autonomous agile earth-observing satellite. In:Principles and Practice of Constraint Programming-CP 2007. Lecture Notes in Computer Science, vol. 4741. Berlin, Heidelberg:Springer, 2007.3-17
41 Beaumet G, Verfaillie G, Charmeau M C. Autonomous planning for an agile earth-observing satellite. In:Proceedings of the 9th International Symposium on Artificial Intelligence,Robotics and Automation in Space.Hollywood, USA:IEEE,2008.
42 Beaumet G, Verfaillie G, Charmeau M C. Feasibility of autonomous decision making on board an agile earth-observing satellite. Computational Intelligence, 2011, 27(1):123-139
43 Sa P F, Zhao M, Liu Y F. Study of algorithms of realtime scheduling with fault-tolerance in small satellite onboard computer systems. In:Proceedings of the 6th World Congress on Intelligent Control and Automation. Dalian,China:IEEE, 2006. 2949-2953
44 Baek S W, Han S M, Cho K R, Lee D W, Yang J S, Bainum P M, et al. Development of a scheduling algorithm and GUI for autonomous satellite missions. Acta Astronautica, 2011,68(7-8):1396-1402
45 Sun Ya-Ru, Wang Feng-Yang, Han Yue-Ping, Liu Yong. Optimization algorithm for solving autonomous operation mission scheduling problem of satellites. Computer Engineering&Design, 2005, 26(2):461-464(孙雅茹,王凤阳,韩月平,刘泳.卫星自主运行任务调度问题的优化算法.计算机工程与设计,2005, 26(2):461-464)
46 Kono Y, Pereira L M, Ferreira M. Strategies for implementation of an automated planning system. In:Proceedings of the SpaceOps 2010 Conference. Huntsville, Alabama:AIAA, 2010.
47 Tian Zhi-Xin, Tang Hai-Tao, Wang Zhong-Guo, Wang Da-Bao, Cao Jing. Satellite utility improvement technique based on dynamic on-board command scheduling. Journal of Astronautics, 2014, 35(10):1105-1113(田志新,汤海涛,王中果,汪大宝,曹京.基于星上动态指令调度的卫星使用效能提升技术.宇航学报,2014,35(10):1105-1113)
48 Kim H, Chang Y K. Mission scheduling optimization of SAR satellite constellation for minimizing system response time.Aerospace Science&Technology, 2015, 40:17-32
49 Herz A, Mignogna A. Collection planning for the OrbView-3 high resolution imagery satellite. In:Proceedings of the SpaceOps 2006 Conference. Rome, Italy:AIAA, 2006.
50 Smith B,Millar W, Dunphy J, Tung Y W, Nayak P, Gamble E, et al. Validation and verification of the remote agent for spacecraft autonomy. In:Proceedings of the Aerospace Conference. Snowmass at Aspen, CO, USA:IEEE, 1999.449-468
51 Muscettola N, Nayak P P, Pell B, Williams B C. Remote Agent:to boldly go where no AI system has gone before.Artificial Intelligence, 1998, 103(1-2):5-47
52 Chien S, Sherwood R, Tran D, Cichy B, Rabideau G, Castano R, et al. The EO-1 autonomous science agent. In:Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems. New York:IEEE, 2004. 420-427
53 Rabideau G, Knight R, Chien S, Fukunaga A, Govindjee A. Iterative repair planning for spacecraft operations using the ASPEN system. In:Proceedings of the 5th International Symposium on Artificial Intelligence, Robotics and Automation in Space. Noordwijk, The Netherlands, 1999.
54 Chien S, Knight R, Stechert A, Sherwood R, Rabideau G.Using iterative repair to improve the responsiveness of planning and scheduling. In:Proceedings of the 5th International Conference on Artificial Intelligence Planning Systems, Breckenridge, CO; AAAI, 2000, 300-307
55 Chien S, Knight R, Rabideau G. An empirical evaluation of the effectiveness of local search for replanning. In:Local Search for Planning and Scheduling. Lecture Notes in Computer Science, vol. 2148. Berlin, Heidelberg:Springer, 2001.79-94
56 Verfaillie G, Pralet C, Lemaitre M. Constraint-based modeling of discrete event dynamic systems. Journal of Intelligent Manufacturing, 2010, 21(1):31-47
57 Pralet C, Verfaillie G. Using constraint networks on timelines to model and solve planning and scheduling problems.In:Proceedings of the 18th International Conference on Artificial Intelligence Planning and Scheduling. Sydney, Australia:AAAI, 2008. 272-279
58 Lemaitre M, Verfaillie G. Interaction between reactive and deliberative tasks for on-line decision-making. In:Proceedings of the ICAPS-07 Workshop on Planning and Plan Execution for Real world Systems, Providence. Rhode Island,USA, 2007.
59 Li Ju-Fang, He Ren-Jie, Yao Feng. A Planning and Scheduling Framework for Agile Satellite Combining On-ground and On-board Decisions. In:Proceedings of the 2nd China High Resolution Earth Observation Conference. China, Beijing:IECAS, 2013. 1-14(李菊芳,贺仁杰,姚锋.星地一体的敏捷卫星规划调度框架.见:第二届高分辨率对地观测学术年会.北京:中国宇航学会中科院电子学研究所,2013. 1-14)
60 Xing Li-Ning. An Autonomous Mission Planning Framework for the New Remote Sensing Satellite. In:Proceedings of the 3rd China High Resolution Earth Observation Conference. China, Beijing:IECAS, 2014.(邢立宁.面向新型遥感卫星的星上自主任务规划框架.见:第三届高分辨率对地观测学术年会.北京:中国科学院高分重大专项管理办公室,2014.)
61 Li Jian-Jun, Guo Hao, Zhu Jiang-Han. Research on a combinational solution on space-ground integration imaging reconnaissance task scheduling. Journal of Chinese Computer Systems,2012, 33(1):159-164(李建军,郭浩,祝江汉.星地一体成像侦察任务规划组合求解方法.小型微型计算机系统,2012, 33(1):159-164)
62 Chen Feng, Wu Xiao-Yue. Space and ground TT&C resource integrated scheduling model. Journal of Astronautics, 2010,31(5):1405-1412(陈峰,武小悦.天地测控资源一体化调度模型.宇航学报,2010,31(5):1405-1412)
63 Lenzen C, Worle M T, Gottfert T, Mrowka F, Wickler M. Onboard planning and scheduling autonomy within the scope of the FireBird mission. In:Proceedings of the 13th International Conference on Space Operations, SpaceOps2014. Pasadena, California, USA:AIAA, 2014.
64 Worle M T, Lenzen C. Ground assisted onboard planning autonomy with VAMOS. In:Proceedings of the 8th International Workshop on Planning and Scheduling for Space(IWPSS-13). Moffett Field, CA, 2013.
65 Dang V D, Dash R K, Rogers A, Jennings N R. Overlapping coalition formation for efficient data fusion in multi-sensor networks. In:Proceedings of the National Conference on Artificial Intelligence. Boston, Massachusetts:AAAI Press,2006. 635-640
66 Goradia H J, Vidal J M. An equal excess negotiation algorithm for coalition formation. In:Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems. Honolulu, Hawaii:ACM, 2007. Article No. 250
67 Rahwan T, Ramchurn S D, Dang V D, Jennings N R. Nearoptimal anytime coalition structure generation. In:Proceedings of the 20th International Joint Conference on Artificial Intelligence. Hyderabad, India:Morgan Kaufmann Publishers Inc, 2007, 2365-2371
68 Abdallah S, Lesser V. Organization-based cooperative coalition formation. In:Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology.Beijing, China:IEEE, 2004. 162-168
69 Sims M, Goldman C V, Lesser V. Self-organization through bottom-up coalition formation. In:Proceedings of the 2nd International Joint Conference on Autonomous Agents and Multiagent Systems. Melbourne, Australia:ACM, 2003.867-874
70 Globus A, Crawford J, Lohn J, Pryor A. A comparison of techniques for scheduling earth observing satellites. In:Proceedings of the 19th National Conference on Artificial Intelligence, Sixteenth Conference on Innovative Applications of Artificial Intelligence. San Jose, California, USA:DBLP,2004. 836-843
71 Globus A, Crawford J, Lohn J, Pryor A. Scheduling earth observing satellites with evolutionary algorithms. In:Proceedings of the International Conference on Space Mission Challenges for Information Technology. Pasadena, CA,2003.
72 Richards R A, Houlette R T, Mohammed J L. Distributed satellite constellation planning and scheduling. In:Proceedings of the 14th International Florida Artificial Intelligence Research Society Conference. AAAI Press, 2001. 68-72
73 Bianchessi N, Righini G. Planning and scheduling algorithms for the COSMO-SkyMed constellation. Aerospace Science&Technology, 2008, 12(7):535-544
74 Dilkina B, Havens B. Agile satellite scheduling via permutation search with constraint propagation[Online], Available:http://www.cs.sfu.ca/CourseCentral/827/havens/papers/topic%2312(SatelliteScheduling)/SatelliteSched.pdf, 2005
75 He Chuan, Zhu Xiao-Min, Qiu Di-Shan. Cooperative scheduling method of multi-satellites for imaging reconnaissance in emergency condition. Systems Engineening&Electronics, 2012, 34(4):726-731(贺川,朱晓敏,邱涤珊.面向成急成像观测任务的多协调度方法.系统程与电子技术,2012, 34(4):726-731)
76 Wang Pei. Research on Branch-and-Price Based Multisatellite Mu北i-station Integrated Scheduling Method[Ph. D.dissertation], National University of Defense Technology,China, 2011(,于分支定价的多多站集成调度方法研究[学位论文],国防科学技术学,中国,2011)
77 Wang M C, Dai G M, Vasile M. Heuristic scheduling algorithm oriented dynamic tasks for imaging satellites. Mathematiccl Problems in Engineering, 2014, 2014:Article ID234928
78 Li Y Q, Wang R X, Xu M Q. Rescheduling of observing spacecraft using fuzzy neural network and ant colony algorithm. Chinese Journal of Aeronautics, 2014, 27(3):678-687
79 Jiang Wei, Pang Xiu-Li, Hao Hui-Cheng. Collaborative scheduling model and algorithm for imaging satellite network. Systems Engineering&Electronics, 2013, 35(10):2093-2101(姜维,庞秀,会成,成像协同任务规划模型算法.系统工程与电子技术,2013, 35(10):2093-2101)
80Agogino A, HolmesParker C, Tumer K. Evolving distributed resource sharing for CubeSat constellations. In:Proceedings of the 14th Annual Conference on Genetic&Evolutionary Computation. Philadelphia, Pennsylvania, USA:ACM,2012. 1015-1022
81Cheng S W, Chen J. Shen L C, Tao Y. ECNP-based method of distributed dynamic task allocation for multiple observation satellite planning. In:Proceedings of the 2nd International Conference on Advanced Computer ControL Shenyang, China:IEEE, 2010. 325-328
82 Skobelev P O, Simonova E V, Zhilyaev A A, Travin V S.Application of multi-agent technology in the scheduling system of swarm of earth remote sensing satellites. Procedia Computer Science, 2017, 103:396-402
83Mohammed J L. Mission planning for formation-flying satellite cluster. In:Proceedings of the 14th International Florida Artificial Intelligence Research Society Conference. Key West, Florida, USA:AAAI Press, 2001. 58-62
84 Mohammed J L. SpaceCAPS:automated mission planning for the TechSat 21 formation-flying cluster experiment. In:Proceedings of the 15th International Florida Artificial Intelligence Research Society Conference. Pensacola Beach,Florida, USA:DBLP, 2002. 24-27
85 Grasset-Bourdel R, Verfaillie G, Flipo A. PLANET:a planning and replanning tool for a constellation of agile earthobserving satellites. In:Proceedings of the 2lst International Conference on Automated Planning and Scheduling.Freiburg, Germany:AAAI, 2011:23.
86 Pralet C, Verfaillie G, Olive X, Rainjonneau S, Sebbag I.Planning for an ocean global surveillance mission. Methods&Findings in Experimental&Clinical Pharmacology, 2012,13(7):499-503
87 Wang P, Tan Y J. Joint scheduling of heterogeneous earth observing satellites for different stakeholders. In:Proceedings of the SpaceOps 2008 Conference. Heidelberg, Germany:AIAA, 2013.
88 Grasset-Bourdel R, Verfaillie G, Flipo A. Building a really executable plan for a constellation of agile earth observation satellites. In:International Workshop on Planning&Scheduling for Space, ESOC, Darmstadt, Germany, 2011.
89 De Florio S. Performances optimization of remote sensing satellite constellations:a heuristic method. In:International Workshop on Planning and Scheduling for Space. Baltimore, MD, USA, 2006.
90 Truszkowski W, Hallock H L, Rouff C, Karlin J, Rash J,Hinchey M, et al. Autonomous and Autonomic Systems:With Applications to NASA Intelligent Spacecraft Operations and Exploration Systems. London:Springer, 2009.
91 Zheng Z X, Guo J, Gill E. Multi-satellite onboard behaviour planning using adaptive genetic algorithm. In:Proceedings of the 67th International Astronautical Congress. Guadalajara, Mexico, 2016.
92 Qin J, Liu Y G, Mao X, McNair J. Deadline based resource balancing task allocation for clustered heterogeneous LEO small satellite network. In:Proceedings of the 2013 IEEE Military Communications Conference. San Diego, CA, USA:IEEE, 2013. 1825-1831
93 Bonnet G, Tessier C. Collaboration among a satellite swarm.In:Proceedings of the 6th International Joint Conference on Autonomous Agents&Multiagent Systems. Honolulu,Hawaii, USA:ACM, 2007. Article No. 54
94 Damiani S, Verfaillie G, Charmeau M C. An earth watching satellite constellation:how to manage a team of watching agents with limited communications. In:Proceedings of the 4th International Joint Conference on Autonomous Agents&Multiagent Systems. The Netherlands:ACM,2005. 455-462
95 Bonnet G, Tessier C. Coordination despite constrained communications:a satellite constellation case. In:Proceedings of the 3rd National Conference on Control Architectures of Robots. Bourges, 2008.
96 Van Der Horst J. Market-based Task Allocation in Distributed Satellite Systems[Ph.D. dissertation], University of Southampton, UK, 2012
97 Bonnet J. Multi-Criteria and Multi-Objective Dynamic Planning by Self-Adaptive Multi-Agent System, Application to Earth Observation Satellite Constellations[Ph. D.dissertation]. Universite de Toulouse, France, 2017
98 Zhang Zheng-Qiang. Research on Mission Planning and Control Problem for Distributed Imaging Satellite System Based on MAS[Ph.D. dissertation], National University of Defense Technology, China, 2006(张正强.基于MAS的分布式成像卫星系统任务规划与控制问题研究[博士学位论文],国防科学技术大学,中国, 2006)
99 Gao Li, Research on Earth Observation Task Cooperation for Distributed Satellites System[Ph.D. dissertation], National University of Defense Technology, China, 2007(高黎.对地观测分布式卫星系统任务协作问题研究[博士学位论文],国防科学技术大学,中国,2007)
100 Pang Zhong-Hua. Research on Collaborative Mission Scheduling Methods of High-orbit and Low-orbit Earth Observation Satellite[Master thesis], Harbin Institute of Technology, China, 2013.(庞中华.高低轨对地观测卫星协同任务规划方法研究[硕士学位论文].哈尔滨工业大学,2013.)
101 Lachiver J, Laherrere J, Sebbag I, Bataille N, et al. System feasibility of onboard clouds detection and observations scheduling. In:Proceedings of the 6th International Symposium on Artificial Intelligence, Robotics, and Automation for Space(i-SAIRAS-01). Montreal, Canada, 2001.
102 Khatib L, Frank J, Smith D, Morris R, Dungan J. Interleaved observation execution and rescheduling on earth observing systems. In:Proceedings of the 13th International Conference on Artificial Intelligence Planning and Scheduling Workshop on Plan Execution. Trento, Italy, 2003.
103 Morris R A, Dungan J, Frank J, Khatib L, Smith D E. An integrated approach to earth science observation scheduling.In:Proceedings of the 3rd NASA Earth Science Technology Conference(ESTC-03). University of Maryland, USA, 2003.
104 Das S, Knights D, Wu C, Truszkowski W. Distributed intelligent planning and scheduling(DIPS). In:Proceedings of the 1st International Conference on Multi-Agent Systems.San Francisco, California, USA:AAAI, 1995.
105 Das S, Wu C, Truszkowski W. Enhanced satellite constellation operations via distributed planning and scheduling.In:Proceeding of the 6th International Symposium on Artificial Intelligence and Robotics&Automation in Space:i-SAIRAS 2001. Canadian Space Agency, St-Hubert, Quebec, Canada, 2001.
106 Das S, Krikorian R, Truszkowski W. Distributed planning and scheduling for enhancing spacecraft autonomy. In:Proceedings of the 3rd Annual Conference on Autonomous Agents. Seattle, Washington, USA:ACM, 1999. 422-423
107 Das S, Wu C, Truszkowski W. Distributed intelligent planning and scheduling for enhanced spacecraft autonomy. In:AAAI Technical Report SS-01-06. AAAI, 2018. 37-45
108 Escorial D, Tourne I F, Reina F J, Gonzalo J, Garrido B. Fuego:a dedicated constllation of small satellites to detect and monitor forest fires. Acta Astronautica, 2003,52(9-12):765-775
109 Tripp H, Palmer P. Stigmergy based behavioural coordination for satellite clusters. Acta Astronautica, 2010, 66(7-8):1052-1071
110 Cesta A, Ocon J, Rasconi R, Montero A M S. Simulating on-board autonomy in a multi-agent system with planning and scheduling. In:Scheduling and Planning Applications Workshop at International Conference on Automated Planning and Scheduling. Toronto, Canada, 2010.
111 Grey S. Distributed Agents for Autonomous Spacecraft[Ph.D. dissertation],The University of Glasgow, UK,2013
2 Wu G H, Liu J, Ma M H, Qiu D S. A two-phase scheduling method with the consideration of task clustering for earth observing satellites. Computers&Operations Research, 2013, 40(7):1884-1894
3 Wu G H, Wang H L, Li H F, Pedrycz W, Qiu D S, Ma M H,et al. An adaptive Simulated Annealing-based satellite observation scheduling method combined with a dynamic task clustering strategy. eprint arXiv:1401.6098, 2014
4 Tangpattanakul P, Jozefowiez N, Lopez P. A multi-objective local search heuristic for scheduling Earth observations taken by an agile satellite. European Journal of Operational Research, 2015, 245(2):542-554
5 Gabrel V, Vanderpooten D. Enumeration and interactive selection of efficient, paths in a multiple criteria graph for scheduling an earth observing satellite. European Journal of Operational Research, 2002, 139(3):533-542
6 Sarkheyli A, Vaghei B G, Moghadam R A, Bagheri A.Scheduling earth observation activities in LEO satellites using graph coloring problem. In:Proceedings of the 5th International Symposium on Telecommunications. Tehran, Iran:IEEE, 2010. 928-931
7 Augenstein S. Optimal scheduling of earth-imaging satellites with human collaboration via directed acyclic graphs.Journal of Experimental Psychology, 2014, 38(3):338-346
8 Wolfe W J, Sorensen S E. Three scheduling algorithms applied to the earth observing systems domain. Management Science, 2000, 46(1):148-166
9 Vasquez M, Hao J K. A"Logic-Constrained"knapsack formulation and a Tabu algorithm for the daily photograph scheduling of an earth observation satellite. Computational Optimization&Applications, 2001, 20(2):137-157
10 Gabrel V, Murat C. Mathematical programming for earth observation satellite mission planning. Operations Research in Space and Air. Boston, MA:Springer, 2003. 103-122
11 Spangelo S, Cutler J, Gilson K, Cohn A. Optimization-based scheduling for the single-satellite, multi-ground station communication problem. Computers&Operations Research,2015, 57:1-16
12 Wang P, Reinelt G, Gao P, Tan Y J. A model, a heuristic and a decision support system to solve the scheduling problem of an earth observing satellite constellation. Computers&Industrial Engineering, 2011, 61(2):322-335
13 Ran Cheng-Xin, Xiong Gang-Yao, Wang Hui-Lin, Qiu DiShan. Study of electronic reconnaissance satellites mission scheduling model and algorithm. Communication Countermeasures,2009,(1):3-8, 13(冉承新,熊纲要,王慧林,邱涤珊.电子侦察卫星任务规划调度模型与算法研究.通信对抗,2009,(1):3-8, 13)
14 Gu Zhong-Shun, Chen Ying-Wu. MIP model and algorithm for resolving scheduling of Earth observation satellites. Journal of Spacecraft TT&CTechnology. 2007, 26(1):19-24(顾舜,陈英武,对地观测度的混合数规划模及求解,行器测学报,2007, 26(1):19-24)
15Wang X W, Chen Z, Han C. Scheduling for single agile satellite, redundant targets problem using complex networks theory. Chaos, Solitons&Fractals, 2016, 83:125-132
16 Yu Xing-Biao, Zheng Chang-Wen, Hu Xiao-Hui, Zhao JunSuo.A hybrid fault-tolerant scheduling algorithm for multiprocessor in space environment. Journal of Astronautics,2013, 34(6):808-817(兴标,郑文,胡晓惠,赵军锁,空间环境的多处理器混合调度法,宇航学报,2013, 34(6):808-817)
17 Chen Ji-Zhou, Wang Jun, Li Jun, Jing Ning. Research伽comprehensive evaluation technology of satellite mission schedule algorithm. Computer Engineering, 2009, 35(20):59-61, 65(陈济舟钧,,景宁.任务规划算法综评价技术研究,计算机丁程,2009, 35(20):59-61, 65)
18 Chien S, Rabideau G, Knight R, Sherwood R, Engelhardt B,Mutz D, et al. ASPEN-automated planning and scheduling for space mission operations. In:SpaceOps 2000. France,2000.
19 Cesta A, Fratini S, Donati A, Oliveira H, Policella N. Rapid prototyping of planning&scheduling tools. In:Proceedings of the 3rd IEEE International Conference on Space Mission Challenges for Information Technology. Pasadena, CA,USA:IEEE, 2009. 270-277
20 Bresina J L, Jonsson A K, Morris P H, Rajan K. Mixedinitiative planninginMAPGEN:capabilities and shortcomings. In:Proceedings of the ICAPS-05 Workshop on Mixedinitiative Planning and Scheduling. Monterey, CA, United States, 2005.
21 Zhao Ping, Chen Zhi-Ming. An adapted genetic algorithm applied to satellite autonomous task scheduling. Chinese Space Science and Technology, 2016, 36(6):47-54(萍,陈志明.用卫自任务调度的改进遗传算法.空间科学技术,2016, 36(6):47-54)
22 Chen Hao, Li Jun, Jing Ning, Liu Xiang-Hui, Tang Yu.Scheduling model and algorithms for autonomous electromagnetic detection satellites. Acta Aeronautica Et.Astronautica Sinica, 2010, 31(5):1045-1053(陈浩,李,景宁,刘湘辉,唐宁.电磁探规划模型及优化算法,航空学报,2010, 31(5):1045-1053)
23 Chien S, Sherwood R, Rabideau G, Castano R, Davies A,Burl M, et al. The Techsat-21 autonomous space science agent. In:Proceedings of the lst International Joint Conference on Autonomous Agents and Multiagent Systems.Bologna, Italy:ACM, 2002. 570-577
24 Chien S, Engelhardt B, Knight R, Rabideau G. Sherwood R. Onboard autonomy on the three corner sat mission. In:Proceedings of the 6th International Symposium on Artifical Intelligence, Robotics and Automation in Space. Montreal,Quebec, Canada, 2001.
25 Chien S, Sherwood R, Tran D, Cichy B, Rabideau G, Castano R. et al. Using autonomy fiight software to improve science return on earth observing one. Journal of Aerospace Computing, Information,&Communication, 2005, 2(4):196-216
26 Khatib L, Frank J, Smith D E, Morris R, Dungan J, Technology K. Interleaved observation execution and rescheduling.In:Proceedings of the Icaps-03 Workshop on Plan Execution. Moffett Field, CA, United States, 2003.
27 Damiani S, Verfaillie G, Charmeau M C. An anytime planning approach for the management of an earth watching satellite. In:Proceedings of the 4th International Workshop on Planning and Scheduling for Space(IWPSS-04), Darmstadt, Germany, 2004.
28 Bai Bao-Cun, He Ren-Jie, Li Ju-Fang, Chen Ying-Wu.Satellite orbit task merging problem and its dynamic programming algorithm. Systems Engineering&Electronics,2009, 31(7):1738-1742(白保存,贺仁杰,李菊芳,陈英武.卫星单轨任务合成观测问题及其动态规划算法.系统工程与电子技术,2009, 31(7):1738-1742)
29 Wang J J, Demeulemeester E, Qiu D S. A pure proactive scheduling algorithm for multiple earth observation satellites under uncertainties of clouds. Computers&Operations Research, 2016, 74:1-13
30 Liu Yang, Chen Ying-Wu, Tan Yue-Jin. Mission planning method of the satellite ground station based on the greedy algorithm. Systems Engineering&Electronics, 2003,25(10):1239-1241(刘洋,陈英武,谭跃进.基于贪婪算法的卫星地面站任务规划方法.系统工程与电子技术,2003, 25(10):1239-1241)
31 Bianchessi N, Cordeau J F, Desrosiers J, Laporte G, Raymond V. A heuristic for the multi-satellite, multi-orbit and multi-user management of Earth observation satellites.European Journal of Operational Research, 2007, 177(2):750-762
32 Lin W C, Liao D Y, Liu C Y, Lee Y Y. Daily imaging scheduling of an Earth observation satellite. IEEE Transactions on Systems, Man, and Cybernetics—Part A:Systems and Humans, 2005, 35(2):213-223
33 Chen H, Wu J J, Shi W Y. Coordinate scheduling approach for EDS observation tasks and data transmission jobs. Journal of Systems Engineering and Electronics, 2016, 27(4):822-835
34 Zhang D Y, Guo L, Cai B, Sun N, Wang Q. A hybrid discrete particle swarm optimization for satellite scheduling problem.In:Proceedings of the 2011 IEEE Conference Anthology.China:IEEE, 2011. 1-5
35 Wu J G, Wang S, Li Y, Dou C P, Hu J. Application of differential evolution algorithm in multi-satellite monitoring scheduling. In:Proceedings of the 27th Conference of Spacecraft TT&C Technology in China. Lecture Notes in Electrical Engineering, vol. 323. Berlin, Heidelberg:Springer, 2015.347-357
36 Pi Ben-Jie, Zhai Shu-Bao. Quick optimal schedule method of onboard and ground resources for signal collection satellite system. Journal of Astronautics, 2016, 37(3):348-356(皮本杰,翟淑宝.信号采集卫星系统星地资源快速调度优化方法.宇航学报,2016, 37(3):348-356)
37 Yan Zhen-Zhen, Chen Ying-Wu, Xing Li-Ning, Agile satellite scheduling based on improved ant colony algorithm. Systems Engineering-Theory&Practice,2014, 34(3):793-801(严珍珍,陈英武,邢立宁.基于改进蚁群算法设计的敏捷卫星调度方法.系统工程理论与实践,2014, 34(3):793-801)
38 Zhuang S F, Yin Z D, Wu Z L, Shi Z G. The relay satellite scheduling based on artificial bee colony algorithm. In:Proceedings of the International Symposium on Wireless Personal Multimedia Communications(WPMC). Sydney,NSW, Australia:IEEE, 2015. 635-640.
39 Johnston M D. Spike:AI scheduling for NASA's Hubble Space Telescope. In:Proceedings of the 6th Artificial Intelligence Applications. Santa Barbara, CA, USA:IEEE, 1990.184-190
40 Beaumet G, Verfaillie G, Charmeau M C. Estimation of the minimal duration of an attitude change for an autonomous agile earth-observing satellite. In:Principles and Practice of Constraint Programming-CP 2007. Lecture Notes in Computer Science, vol. 4741. Berlin, Heidelberg:Springer, 2007.3-17
41 Beaumet G, Verfaillie G, Charmeau M C. Autonomous planning for an agile earth-observing satellite. In:Proceedings of the 9th International Symposium on Artificial Intelligence,Robotics and Automation in Space.Hollywood, USA:IEEE,2008.
42 Beaumet G, Verfaillie G, Charmeau M C. Feasibility of autonomous decision making on board an agile earth-observing satellite. Computational Intelligence, 2011, 27(1):123-139
43 Sa P F, Zhao M, Liu Y F. Study of algorithms of realtime scheduling with fault-tolerance in small satellite onboard computer systems. In:Proceedings of the 6th World Congress on Intelligent Control and Automation. Dalian,China:IEEE, 2006. 2949-2953
44 Baek S W, Han S M, Cho K R, Lee D W, Yang J S, Bainum P M, et al. Development of a scheduling algorithm and GUI for autonomous satellite missions. Acta Astronautica, 2011,68(7-8):1396-1402
45 Sun Ya-Ru, Wang Feng-Yang, Han Yue-Ping, Liu Yong. Optimization algorithm for solving autonomous operation mission scheduling problem of satellites. Computer Engineering&Design, 2005, 26(2):461-464(孙雅茹,王凤阳,韩月平,刘泳.卫星自主运行任务调度问题的优化算法.计算机工程与设计,2005, 26(2):461-464)
46 Kono Y, Pereira L M, Ferreira M. Strategies for implementation of an automated planning system. In:Proceedings of the SpaceOps 2010 Conference. Huntsville, Alabama:AIAA, 2010.
47 Tian Zhi-Xin, Tang Hai-Tao, Wang Zhong-Guo, Wang Da-Bao, Cao Jing. Satellite utility improvement technique based on dynamic on-board command scheduling. Journal of Astronautics, 2014, 35(10):1105-1113(田志新,汤海涛,王中果,汪大宝,曹京.基于星上动态指令调度的卫星使用效能提升技术.宇航学报,2014,35(10):1105-1113)
48 Kim H, Chang Y K. Mission scheduling optimization of SAR satellite constellation for minimizing system response time.Aerospace Science&Technology, 2015, 40:17-32
49 Herz A, Mignogna A. Collection planning for the OrbView-3 high resolution imagery satellite. In:Proceedings of the SpaceOps 2006 Conference. Rome, Italy:AIAA, 2006.
50 Smith B,Millar W, Dunphy J, Tung Y W, Nayak P, Gamble E, et al. Validation and verification of the remote agent for spacecraft autonomy. In:Proceedings of the Aerospace Conference. Snowmass at Aspen, CO, USA:IEEE, 1999.449-468
51 Muscettola N, Nayak P P, Pell B, Williams B C. Remote Agent:to boldly go where no AI system has gone before.Artificial Intelligence, 1998, 103(1-2):5-47
52 Chien S, Sherwood R, Tran D, Cichy B, Rabideau G, Castano R, et al. The EO-1 autonomous science agent. In:Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems. New York:IEEE, 2004. 420-427
53 Rabideau G, Knight R, Chien S, Fukunaga A, Govindjee A. Iterative repair planning for spacecraft operations using the ASPEN system. In:Proceedings of the 5th International Symposium on Artificial Intelligence, Robotics and Automation in Space. Noordwijk, The Netherlands, 1999.
54 Chien S, Knight R, Stechert A, Sherwood R, Rabideau G.Using iterative repair to improve the responsiveness of planning and scheduling. In:Proceedings of the 5th International Conference on Artificial Intelligence Planning Systems, Breckenridge, CO; AAAI, 2000, 300-307
55 Chien S, Knight R, Rabideau G. An empirical evaluation of the effectiveness of local search for replanning. In:Local Search for Planning and Scheduling. Lecture Notes in Computer Science, vol. 2148. Berlin, Heidelberg:Springer, 2001.79-94
56 Verfaillie G, Pralet C, Lemaitre M. Constraint-based modeling of discrete event dynamic systems. Journal of Intelligent Manufacturing, 2010, 21(1):31-47
57 Pralet C, Verfaillie G. Using constraint networks on timelines to model and solve planning and scheduling problems.In:Proceedings of the 18th International Conference on Artificial Intelligence Planning and Scheduling. Sydney, Australia:AAAI, 2008. 272-279
58 Lemaitre M, Verfaillie G. Interaction between reactive and deliberative tasks for on-line decision-making. In:Proceedings of the ICAPS-07 Workshop on Planning and Plan Execution for Real world Systems, Providence. Rhode Island,USA, 2007.
59 Li Ju-Fang, He Ren-Jie, Yao Feng. A Planning and Scheduling Framework for Agile Satellite Combining On-ground and On-board Decisions. In:Proceedings of the 2nd China High Resolution Earth Observation Conference. China, Beijing:IECAS, 2013. 1-14(李菊芳,贺仁杰,姚锋.星地一体的敏捷卫星规划调度框架.见:第二届高分辨率对地观测学术年会.北京:中国宇航学会中科院电子学研究所,2013. 1-14)
60 Xing Li-Ning. An Autonomous Mission Planning Framework for the New Remote Sensing Satellite. In:Proceedings of the 3rd China High Resolution Earth Observation Conference. China, Beijing:IECAS, 2014.(邢立宁.面向新型遥感卫星的星上自主任务规划框架.见:第三届高分辨率对地观测学术年会.北京:中国科学院高分重大专项管理办公室,2014.)
61 Li Jian-Jun, Guo Hao, Zhu Jiang-Han. Research on a combinational solution on space-ground integration imaging reconnaissance task scheduling. Journal of Chinese Computer Systems,2012, 33(1):159-164(李建军,郭浩,祝江汉.星地一体成像侦察任务规划组合求解方法.小型微型计算机系统,2012, 33(1):159-164)
62 Chen Feng, Wu Xiao-Yue. Space and ground TT&C resource integrated scheduling model. Journal of Astronautics, 2010,31(5):1405-1412(陈峰,武小悦.天地测控资源一体化调度模型.宇航学报,2010,31(5):1405-1412)
63 Lenzen C, Worle M T, Gottfert T, Mrowka F, Wickler M. Onboard planning and scheduling autonomy within the scope of the FireBird mission. In:Proceedings of the 13th International Conference on Space Operations, SpaceOps2014. Pasadena, California, USA:AIAA, 2014.
64 Worle M T, Lenzen C. Ground assisted onboard planning autonomy with VAMOS. In:Proceedings of the 8th International Workshop on Planning and Scheduling for Space(IWPSS-13). Moffett Field, CA, 2013.
65 Dang V D, Dash R K, Rogers A, Jennings N R. Overlapping coalition formation for efficient data fusion in multi-sensor networks. In:Proceedings of the National Conference on Artificial Intelligence. Boston, Massachusetts:AAAI Press,2006. 635-640
66 Goradia H J, Vidal J M. An equal excess negotiation algorithm for coalition formation. In:Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems. Honolulu, Hawaii:ACM, 2007. Article No. 250
67 Rahwan T, Ramchurn S D, Dang V D, Jennings N R. Nearoptimal anytime coalition structure generation. In:Proceedings of the 20th International Joint Conference on Artificial Intelligence. Hyderabad, India:Morgan Kaufmann Publishers Inc, 2007, 2365-2371
68 Abdallah S, Lesser V. Organization-based cooperative coalition formation. In:Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology.Beijing, China:IEEE, 2004. 162-168
69 Sims M, Goldman C V, Lesser V. Self-organization through bottom-up coalition formation. In:Proceedings of the 2nd International Joint Conference on Autonomous Agents and Multiagent Systems. Melbourne, Australia:ACM, 2003.867-874
70 Globus A, Crawford J, Lohn J, Pryor A. A comparison of techniques for scheduling earth observing satellites. In:Proceedings of the 19th National Conference on Artificial Intelligence, Sixteenth Conference on Innovative Applications of Artificial Intelligence. San Jose, California, USA:DBLP,2004. 836-843
71 Globus A, Crawford J, Lohn J, Pryor A. Scheduling earth observing satellites with evolutionary algorithms. In:Proceedings of the International Conference on Space Mission Challenges for Information Technology. Pasadena, CA,2003.
72 Richards R A, Houlette R T, Mohammed J L. Distributed satellite constellation planning and scheduling. In:Proceedings of the 14th International Florida Artificial Intelligence Research Society Conference. AAAI Press, 2001. 68-72
73 Bianchessi N, Righini G. Planning and scheduling algorithms for the COSMO-SkyMed constellation. Aerospace Science&Technology, 2008, 12(7):535-544
74 Dilkina B, Havens B. Agile satellite scheduling via permutation search with constraint propagation[Online], Available:http://www.cs.sfu.ca/CourseCentral/827/havens/papers/topic%2312(SatelliteScheduling)/SatelliteSched.pdf, 2005
75 He Chuan, Zhu Xiao-Min, Qiu Di-Shan. Cooperative scheduling method of multi-satellites for imaging reconnaissance in emergency condition. Systems Engineening&Electronics, 2012, 34(4):726-731(贺川,朱晓敏,邱涤珊.面向成急成像观测任务的多协调度方法.系统程与电子技术,2012, 34(4):726-731)
76 Wang Pei. Research on Branch-and-Price Based Multisatellite Mu北i-station Integrated Scheduling Method[Ph. D.dissertation], National University of Defense Technology,China, 2011(,于分支定价的多多站集成调度方法研究[学位论文],国防科学技术学,中国,2011)
77 Wang M C, Dai G M, Vasile M. Heuristic scheduling algorithm oriented dynamic tasks for imaging satellites. Mathematiccl Problems in Engineering, 2014, 2014:Article ID234928
78 Li Y Q, Wang R X, Xu M Q. Rescheduling of observing spacecraft using fuzzy neural network and ant colony algorithm. Chinese Journal of Aeronautics, 2014, 27(3):678-687
79 Jiang Wei, Pang Xiu-Li, Hao Hui-Cheng. Collaborative scheduling model and algorithm for imaging satellite network. Systems Engineering&Electronics, 2013, 35(10):2093-2101(姜维,庞秀,会成,成像协同任务规划模型算法.系统工程与电子技术,2013, 35(10):2093-2101)
80Agogino A, HolmesParker C, Tumer K. Evolving distributed resource sharing for CubeSat constellations. In:Proceedings of the 14th Annual Conference on Genetic&Evolutionary Computation. Philadelphia, Pennsylvania, USA:ACM,2012. 1015-1022
81Cheng S W, Chen J. Shen L C, Tao Y. ECNP-based method of distributed dynamic task allocation for multiple observation satellite planning. In:Proceedings of the 2nd International Conference on Advanced Computer ControL Shenyang, China:IEEE, 2010. 325-328
82 Skobelev P O, Simonova E V, Zhilyaev A A, Travin V S.Application of multi-agent technology in the scheduling system of swarm of earth remote sensing satellites. Procedia Computer Science, 2017, 103:396-402
83Mohammed J L. Mission planning for formation-flying satellite cluster. In:Proceedings of the 14th International Florida Artificial Intelligence Research Society Conference. Key West, Florida, USA:AAAI Press, 2001. 58-62
84 Mohammed J L. SpaceCAPS:automated mission planning for the TechSat 21 formation-flying cluster experiment. In:Proceedings of the 15th International Florida Artificial Intelligence Research Society Conference. Pensacola Beach,Florida, USA:DBLP, 2002. 24-27
85 Grasset-Bourdel R, Verfaillie G, Flipo A. PLANET:a planning and replanning tool for a constellation of agile earthobserving satellites. In:Proceedings of the 2lst International Conference on Automated Planning and Scheduling.Freiburg, Germany:AAAI, 2011:23.
86 Pralet C, Verfaillie G, Olive X, Rainjonneau S, Sebbag I.Planning for an ocean global surveillance mission. Methods&Findings in Experimental&Clinical Pharmacology, 2012,13(7):499-503
87 Wang P, Tan Y J. Joint scheduling of heterogeneous earth observing satellites for different stakeholders. In:Proceedings of the SpaceOps 2008 Conference. Heidelberg, Germany:AIAA, 2013.
88 Grasset-Bourdel R, Verfaillie G, Flipo A. Building a really executable plan for a constellation of agile earth observation satellites. In:International Workshop on Planning&Scheduling for Space, ESOC, Darmstadt, Germany, 2011.
89 De Florio S. Performances optimization of remote sensing satellite constellations:a heuristic method. In:International Workshop on Planning and Scheduling for Space. Baltimore, MD, USA, 2006.
90 Truszkowski W, Hallock H L, Rouff C, Karlin J, Rash J,Hinchey M, et al. Autonomous and Autonomic Systems:With Applications to NASA Intelligent Spacecraft Operations and Exploration Systems. London:Springer, 2009.
91 Zheng Z X, Guo J, Gill E. Multi-satellite onboard behaviour planning using adaptive genetic algorithm. In:Proceedings of the 67th International Astronautical Congress. Guadalajara, Mexico, 2016.
92 Qin J, Liu Y G, Mao X, McNair J. Deadline based resource balancing task allocation for clustered heterogeneous LEO small satellite network. In:Proceedings of the 2013 IEEE Military Communications Conference. San Diego, CA, USA:IEEE, 2013. 1825-1831
93 Bonnet G, Tessier C. Collaboration among a satellite swarm.In:Proceedings of the 6th International Joint Conference on Autonomous Agents&Multiagent Systems. Honolulu,Hawaii, USA:ACM, 2007. Article No. 54
94 Damiani S, Verfaillie G, Charmeau M C. An earth watching satellite constellation:how to manage a team of watching agents with limited communications. In:Proceedings of the 4th International Joint Conference on Autonomous Agents&Multiagent Systems. The Netherlands:ACM,2005. 455-462
95 Bonnet G, Tessier C. Coordination despite constrained communications:a satellite constellation case. In:Proceedings of the 3rd National Conference on Control Architectures of Robots. Bourges, 2008.
96 Van Der Horst J. Market-based Task Allocation in Distributed Satellite Systems[Ph.D. dissertation], University of Southampton, UK, 2012
97 Bonnet J. Multi-Criteria and Multi-Objective Dynamic Planning by Self-Adaptive Multi-Agent System, Application to Earth Observation Satellite Constellations[Ph. D.dissertation]. Universite de Toulouse, France, 2017
98 Zhang Zheng-Qiang. Research on Mission Planning and Control Problem for Distributed Imaging Satellite System Based on MAS[Ph.D. dissertation], National University of Defense Technology, China, 2006(张正强.基于MAS的分布式成像卫星系统任务规划与控制问题研究[博士学位论文],国防科学技术大学,中国, 2006)
99 Gao Li, Research on Earth Observation Task Cooperation for Distributed Satellites System[Ph.D. dissertation], National University of Defense Technology, China, 2007(高黎.对地观测分布式卫星系统任务协作问题研究[博士学位论文],国防科学技术大学,中国,2007)
100 Pang Zhong-Hua. Research on Collaborative Mission Scheduling Methods of High-orbit and Low-orbit Earth Observation Satellite[Master thesis], Harbin Institute of Technology, China, 2013.(庞中华.高低轨对地观测卫星协同任务规划方法研究[硕士学位论文].哈尔滨工业大学,2013.)
101 Lachiver J, Laherrere J, Sebbag I, Bataille N, et al. System feasibility of onboard clouds detection and observations scheduling. In:Proceedings of the 6th International Symposium on Artificial Intelligence, Robotics, and Automation for Space(i-SAIRAS-01). Montreal, Canada, 2001.
102 Khatib L, Frank J, Smith D, Morris R, Dungan J. Interleaved observation execution and rescheduling on earth observing systems. In:Proceedings of the 13th International Conference on Artificial Intelligence Planning and Scheduling Workshop on Plan Execution. Trento, Italy, 2003.
103 Morris R A, Dungan J, Frank J, Khatib L, Smith D E. An integrated approach to earth science observation scheduling.In:Proceedings of the 3rd NASA Earth Science Technology Conference(ESTC-03). University of Maryland, USA, 2003.
104 Das S, Knights D, Wu C, Truszkowski W. Distributed intelligent planning and scheduling(DIPS). In:Proceedings of the 1st International Conference on Multi-Agent Systems.San Francisco, California, USA:AAAI, 1995.
105 Das S, Wu C, Truszkowski W. Enhanced satellite constellation operations via distributed planning and scheduling.In:Proceeding of the 6th International Symposium on Artificial Intelligence and Robotics&Automation in Space:i-SAIRAS 2001. Canadian Space Agency, St-Hubert, Quebec, Canada, 2001.
106 Das S, Krikorian R, Truszkowski W. Distributed planning and scheduling for enhancing spacecraft autonomy. In:Proceedings of the 3rd Annual Conference on Autonomous Agents. Seattle, Washington, USA:ACM, 1999. 422-423
107 Das S, Wu C, Truszkowski W. Distributed intelligent planning and scheduling for enhanced spacecraft autonomy. In:AAAI Technical Report SS-01-06. AAAI, 2018. 37-45
108 Escorial D, Tourne I F, Reina F J, Gonzalo J, Garrido B. Fuego:a dedicated constllation of small satellites to detect and monitor forest fires. Acta Astronautica, 2003,52(9-12):765-775
109 Tripp H, Palmer P. Stigmergy based behavioural coordination for satellite clusters. Acta Astronautica, 2010, 66(7-8):1052-1071
110 Cesta A, Ocon J, Rasconi R, Montero A M S. Simulating on-board autonomy in a multi-agent system with planning and scheduling. In:Scheduling and Planning Applications Workshop at International Conference on Automated Planning and Scheduling. Toronto, Canada, 2010.
111 Grey S. Distributed Agents for Autonomous Spacecraft[Ph.D. dissertation],The University of Glasgow, UK,2013
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