中图分类号:
O221.3
{{custom_clc.code}}
({{custom_clc.text}})
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1] Lin C E, Dimpudus K K, Hsu Y C. Airspace risk assessment in logistic path planning for UAV[C]//Integrated Communications, Navigation and Surveillance Conference (ICNS), 2017:1-9.
[2] Doherty P, Rudol P. A UAV search and rescue scenario with human body detection and geolocalization[C]//Australian Conference on Artificial Intelligence, 2007:1-13.
[3] Remy M A, de Macedo K A C, Moreira J R. The first UAV-based P-and X-band interferometric SAR system[C]//2012 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2012:5041-5044.
[4] Kim J, Morrison J R. On the concerted design and scheduling of multiple resources for persistent UAV operations[J]. Journal of Intelligent Robotic Systems, 2014, 74:479-498.
[5] Song B D, Kim J, Morrison J R. Towards real time scheduling for persistent UAV service:A rolling horizon MILP approach, RHTA and the STAH heuristic[J]. Unmanned Aircraft Systems, 2014:506-515.
[6] Song B D, Kim J, Kim J, et al. Persistent UAV service:An improved scheduling formulation and prototypes of system components[J]. Journal of Intelligent & Robotic Systems, 2013, 74(1-2):221-232.
[7] El-Sayed M, Afia N, El-Kharbotly A. A stochastic model for forward-reverse logistics network design under risk[J]. Computers & Industrial Engineering, 2010, 58(3):423-431.
[8] Kannan D, Diabat A, Alrefaei M, et al. A carbon footprint based reverse logistics network design model[J]. Resources Conservation and Recycling, 2012, 67:75-79.
[9] Alumur S A, Nickel S, Saldanha-Da-Gama F, et al. Multi-period reverse logistics network design[J]. European Journal of Operational Research, 2012, 220(1):67-78.
[10] Yu H, Solvang W D. Improving the decision-making of reverse logistics network design part I:A MILP model under stochastic environment[J]. Advanced Manufacturing and Automation VII, February 2018:431-438.
[11] Zokaee S, Jabbarzadeh A, Fahimnia B, et al. Robust supply chain network design:An optimization model with real world application[J]. Annals of Operations Research, 2014, 257(1-2):15-44.
[12] Eskandarpour M, Dejax P, Pè ton O. A large neighborhood search heuristic for supply chain network design[J]. Computers & Operations Research, 2017, 80:23-37.
[13] Govindan K, Paam P, Abtahi A R. fuzzy multi-objective optimization model for sustainable reverse logistics network design[J]. Ecological Indicators, 2016, 67:753-768.
[14] Sun X, Wu C C, Chen L R. Analysis and design of the logistics system for rope manufacturing plant[C]//MATEC Web of Conferences, 2017, 139.
[15] Choi S G, Jung W J, Choi J H. 3D-based UAV path-planning algorithm considering altitude and reconnaissance areas[J]. International Journal of Transportation and Logistics Management, 2017, 1(1):9-16.
[16] Yang J F, Zeng Z Y, Fang Z. Traffic detection system based on unmanned aerial vehicle integrated analysis (UAVIA) in e-business logistics[C]//IEEE International Conference on E-business Engineering, IEEE Computer Society, 2015.
[17] Rana K, Praharaj S, Nanda T. Unmanned aerial vehicles (UAVs):An emerging technology for logistics[J]. International Journal of Business and Management Invention, 2016, 5(5):86-92.
[18] Bahmani B, Moseley B, Vattani A, et al. Scalable k-means++[J]. Proceedings of the VLDB Endowment, 2012, 5(7):622-633.
[19] Jain A K. Data clustering:50 years beyond K-means[J]. Pattern Recognition Letters, 2010, 31(8):651-666.
[20] Cui X L, Zhu P F, Yang X, et al. Optimized big data K-means clustering using MapReduce[J]. The Journal of Supercomputing, 2014, 70(3):1249-1259.
[21] Archer A, Bateni M H, Hajiaghayi M T, et al. Improved approximation algorithms for prize-collecting Steiner tree and TSP[J]. SIAM Journal on Computing, 2011, 40(2):309-332.
[22] Mo Y. The Advantage of Intelligent Algorithms for TSP[M]//Traveling Salesman Problem, Theory and Applications. Rijeka:InTech, 2010:25-40.
[23] 侯玉梅, 贾震环, 田歆, 等. 带软时间窗整车物流配送路径优化研究[J]. 系统工程学报, 2015, 30(2):240-250.Hou Y M, Jia Z H, Tian X, et al. Research on the optimization on the vehicle logistics distribution with soft time windows[J]. Journal of Systems Engineering, 2015, 30(2):240-250.
[24] Razali N M, Geraghty J. Genetic algorithm performance with different selection strategies in solving TSP[C]//Pro-ceedings of the world congress on engineering, 2011, 2(1):1-6.
[25] 黄凯明,卢才武,连民杰. 三层级设施选址-路径规划问题建模及算法研究[J].系统工程理论与实践, 2018, 38(3):743-754.Huang K M, Lu C W, Lian M J. Research on modeling and algorithm for three-echelon location-routing problem[J]. Systems Engineering-Theory & Practice, 2018, 38(3):743-754.
[26] An H C, Kleinberg R, Shmoys D B. Improving Christofides' algorithm for the s-t path TSP[J]. Journal of the ACM (JACM), 2015, 62(5):article34, 28 pages. doi:http://dx.doi.org/10.1145/2818310.
[27] Karpinski M, Lampis M, Schmied R. New inapproximability bounds for TSP[J]. Journal of Computer and System Sciences, 2015, 81(8):1665-1677.
{{custom_fnGroup.title_cn}}
脚注
{{custom_fn.content}}
基金
上海市浦江人才(16PJ1407600);中国博士后科学基金(2017M610230);国家自然科学基金重点项目(61332009);国家自然科学基金面上项目(61775139);上海市自然科学基金(15ZR1428600)
{{custom_fund}}