[1] 赵强柱, 卢福强, 王雷震, 等.无人机骑手联合外卖配送路径优化问题研究[J].计算机工程与应用, 2022, 58(11): 269-278.
ZHAO Q Z, LU F Q, WANG L Z, et al. Research on drones and riders joint take-out delivery routing problem[J]. Computer Engineering and Applications, 2022, 58(11): 269-278.
[2] 杨欣, 袁自然, 叶寅, 等.基于无人机高光谱遥感的冬小麦全氮含量反演[J].光谱学与光谱分析, 2022, 42(10): 3269-3274.
YANG X, YUAN Z R, YE Y, et al. Winter wheat total nitrogen content estimation based on UAV hyperspectral remote sensing[J]. Spectroscopy and Spectral Analysis, 2022, 42(10): 3269-3274.
[3] 潘楠, 陈启用, 刘海石, 等.复杂工业品仓储环境无人机盘库任务规划[J].计算机集成制造系统, 2021, 27(10): 2940-2949.
PAN N, CHEN Q Y, LIU H S, et al. Task planning of UAV stocktaking tray in complex industrial storage environment[J]. Computer Integrated Manufacturing Systems, 2021, 27(10): 2940-2949.
[4] ROSSER JR J C, VIGNESH V, TERWILLIGER B A, et al. Surgical and medical applications of drones: a comprehensive review[J]. Journal of the Society of Laparoendoscopic Surgeons, 2018, 22(3): e2018.00018.
[5] AMUKELE T K, SOKOLL L J, PEPPER D, et al. Can unmanned aerial systems (drones) be used for the routine transport of chemistry, hematology, and coagulation laboratory specimens?[J]. PloS One, 2015, 10(7): e0134020.
[6] AMUKELE T, NESS P M, TOBIAN A A R, et al. Drone transportation of blood products[J]. Transfusion, 2017, 57(3): 582-588.
[7] LING G, DRAGHIC N. Aerial drones for blood delivery[J]. Transfusion, 2019, 59(S2): 1608-1611.
[8] NISINGIZWE M P, NDISHIMYE P, SWAIBU K, et al. Effect of unmanned aerial vehicle (drone) delivery on blood product delivery time and wastage in Rwanda: a retrospective, cross-sectional study and time series analysis[J]. The Lancet Global Health, 2022, 10(4): 564-569.
[9] 王慧明, 黄永晖, 范雨哲, 等.无人机血液配送系统规划[J].物流技术, 2019, 38(6): 130-134.
WANG H M, HUANG Y H, FAN Y Z, et al. Planning of blood drone distribution system[J]. Logistics Technology, 2019, 38(6): 130-134.
[10] 李强, 葛芳民, 唐沪强, 等.城市急救用血无人机配送系统的建设与初步应用[J].中华急诊医学杂志, 2021, 30(8): 1026-1032.
LI Q, GE F M, TANG H Q, et, al. A primary study on construction of urban unmanned aerial vehicle emergency blood distribution system[J]. Chinese Journal of Emergency Medicine, 2021, 30(8): 1026-1032.
[11] 郑茵红, 李阿中, 黄娟, 等.无人机在应急血液配送中的初步应用[J].中国输血杂志, 2021, 34(11): 1263-1265.
ZHENG Y H, LI A Z, HUANG J, et al. Preliminary application of drones in emergency blood delivery[J]. Chinese Journal of Blood Transfusion, 2021, 34(11): 1263-1265.
[12] DANTZIG G B, RAMSER J H. The truck dispatching problem[J]. Management Science, 1959, 6(1): 80-91.
[13] WEN T X, ZHANG Z N, WONG K K L. Multi-objective algorithm for blood supply via unmanned aerial vehicles to the wounded in an emergency situation[J]. PloS One, 2016, 11(5): e0155176.
[14] AL-RABIAAH S, HOSNY M, ALMUHAIDEB S. A greedy heuristic based on optimizing battery consumption and routing distance for transporting blood using unmanned aerial vehicles[J]. Electronics, 2022, 11(20): 3399.
[15] OZKAN O. Multi-objective optimization of transporting blood products by routing UAVs: the case of Istanbul[J]. International Transactions in Operational Research, 2023, 30(1): 302-307.
[16] 张九龙, 王晓峰, 芦磊, 等.若干新型智能优化算法对比分析研究[J].计算机科学与探索, 2022, 16(1): 88-105.
ZHANG J L, WANG X F, LU L, et al. Analysis and research of several new intelligent optimization algorithms[J]. Journal of Frontiers of Computer Science and Technology, 2022, 16(1): 88-105.
[17] ATASHPAZ-GARGARI E, LUCAS C. Imperialist competitive algorithm: an algorithm for optimization inspired by imperialistic competition[C]//Proceedings of IEEE Congress on Evolutionary Computation. Piscataway, NJ: IEEE Press, 2007: 4661-4667.
[18] 蔡延光, 王世豪, 戚远航, 等.帝国竞争算法求解CVRP[J].计算机应用研究, 2021, 38(3): 782-786.
CAI Y G, WANG S H, QI Y H, et al. Imperialist competitive algorithm for solving CVRP[J]. Application Research of Computers, 2021, 38(3): 782-786.
[19] 徐晨. 基于改进帝国竞争算法的电动汽车物流配送路径规划[D]. 大连: 大连海事大学, 2021.
XU C. Path planning of electric vehicle logistics distribution based on improved imperialist competition algorithm[D]. Dalian: Dalian Maritime University, 2021.
[20] 尹姝呓, 毛剑琳, 李斌.基于改进帝国竞争算法的AUV三维路径规划[J].电子测量技术, 2022, 45(10): 74-81.
YIN S Y, MAO J L, LI B. AUV three-dimensional path planning based on the improved imperial competition algorithm[J]. Electronic Measurement Technology, 2022, 45(10): 74-81.
[21] 徐伟华, 张根瑞, 魏传祥, 等.基于自适应继承策略的帝国竞争算法求解旅行商问题[J].计算机应用研究, 2021, 38(11): 3349-3353.
XU W H, ZHANG G R, WEI C X, et al. Imperialist competitive algorithm based on adaptive inheritance strategy to solve traveling salesman problem[J]. Application Research of Computers, 2021, 38(11): 3349-3353.
[22] AUGERAT P, NADDEF D, BELENGUER J M, et al. Computational results with a branch and cut code for the capacitated vehicle routing problem: INPG-RR-949-M[R]. France: N P, 1995.
[23] 尚正阳, 顾寄南, 王建平.求解带能力约束车辆路径优化问题的改进模拟退火算法[J].计算机集成制造系统, 2021, 27(8): 2260-2269.
SHANG Z Y, GU J N, WANG J P, et al. Improved simulated annealing algorithm for capacitated vehicle routing problem[J]. Computer Integrated Manufacturing Systems, 2021, 27(8): 2260-2269.
[24] GAO Y L, WU H G, WANG W T. A hybrid ant colony optimization with fireworks algorithm to solve capacitated vehicle routing problem[J]. Applied Intelligence, 2023, 53:7326-7342. |