| [1] Guzik T G, Besse S, Calongne A, et al. Development of the high altitude student platform. Advances in Space Research, 2008, 42(10): 1704-1714.[2] Gan X H, Guo Y. Introduction to airship technology. Beijing: National Defense Industry Press, 2005: 139-144. (in Chinese) 甘晓华, 郭颖. 飞艇技术概论. 北京: 国防工业出版社, 2005: 139-144.[3] Thornton J. Broadband communications from a high-altitude platform: the European Helinet programme. Electronics & Communication Engineering Journal, 2001, 13(3): 138-144.[4] Sdmidt D K, Stevents J, Roney J. Near-space station-keeping performance of a large high-altitude notional airship. Journal of Aircraft, 2007, 44(2): 611-615.[5] Yu B, Yang Z Z, Yao B Z. A hybrid algorithm for vehicle routing problem with time windows. Expert Systems with Applications, 2011, 38(1): 435-441.[6] Zhu Y H, Zhen T. Hybrid ant colony algorithm based on vehicle routing problem with time windows. International Conference on Information Engineering. Taiyuan: IEEE Computer Society, 2009: 50-53.[7] Abel G N, John A B. An improved multi-objective evolutionary algorithm for the vehicle routing problem with time windows. Computers and Operations Research, 2011, 38(1): 287-300.[8] Zhang L M, Lin Y H, Yang G F, et al. Emergency resources scheduling based on adaptively mutate genetic algorithm. Computers in Human Behavior, 2011, 27(5): 1493-1498.[9] Gan Y, Qiao Y H, Jin B H. Research of multi-stage emergency resource scheduling model. International Conference on Emergency Management and Management Sciences. Beijing: Association for Computing Machinery, 2010: 306-309.[10] He C, Zhu X M, Guo H, et al. Rolling-horizon scheduling for energy constrained distributed real-time embedded systems. Journal of Systems and Software, 2012, 85(4): 780-794.[11] Li J F, Yao F, Bai B C, et al. A decomposition-based algorithm for imaging satellites scheduling problem. International Conference on Information Engineering and Computer Science. Wuhan: IEEE Computer Society, 2009: 1-6.[12] Yao F, Li J F, Bai B C, et al. Earth observation satellites scheduling based on decomposition optimization algorithm. International Journal of Image, Graphics and Signal, 2010, 2(1): 10-18.[13] Bai B C, He R J, Li J F, et al. Imaging satellite observation scheduling with task merging. Acta Aeronautica et Astronautica Sinica, 2009, 30(11): 2165-2171. (in Chinese) 白保存, 贺仁杰, 李菊芳, 等. 考虑任务合成的成像卫星调度问题. 航空学报, 2009, 30(11): 2165-2171.[14] Hu X H, Ouyang J C, Yang Z H, et al. An IPSO algorithm for grid task scheduling based on satisfaction rate. Proceedings of the 2009 International Conference on Intelligent Human-Machine Systems and Cybernetics. Hangzhou: IEEE Computer Society, 2009: 262-265.[15] Fang H Q, Chen L, Shen Z Y. Application of an improved PSO algorithm to optimal tuning of PID gains for water turbine governor. Energy Conversion and Management, 2011, 52(4): 1763-1770.[16] Zhang C S, Ning J X, Lu S, et al. A novel hybrid differential evolution and particle swarm optimization algorithm for unconstrained optimization. Operations Research Letters, 2009, 37(2): 117-122.[17] Yan P, Ding M Y, Zhou C P. On-line real-time multiple-mission route planning for air vehicle. Acta Aeronautica et Astronautica Sinica, 2004, 25(5): 485-489. (in Chinese) 严平, 丁明跃, 周成平. 飞行器多任务在线实时航迹规划. 航空学报, 2004, 25(5): 485-489.[18] Zheng C, Ding M, Zhou C. Real-time route planning for unmanned air vehicle with an evolutionary algorithm. International Journal of Pattern Recognition and Artificial Intelligence, 2003, 17(1): 63-81.[19] Szczerba R J, Galkowski P, Glickstein I S, et al. Robust algorithm for real-time route planning. IEEE Transactions on Aerospace and Electronic System, 2000, 36(3): 869-878.[20] Chang Y H, Hou Y C. Dynamic programming decision path encoding of genetic algorithms for production allocation problems. Computers and Industrial Engineering, 2008, 54(1): 879-886.[21] Lin B M T, Lu C Y, Shyu S J, et al. Development of new features of ant colony optimization for flowshop scheduling. International Journal of Production Economics, 2008, 112(2): 742-755.[22] Li M, Li W, Yang C W. An improved cooperative PSO algorithm. Proceedings of the 8th World Congress on Intelligent Control and Automation. Jinan: Institute of Electrical and Electronics Engineers Inc., 2010: 3256-3260. |
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