[1] 郑棣. 电商物流“最后一公里”配送模式成本研究[J]. 物流科技,2015(9):139-141.
ZHENG D. The study of e-logistics last mile delivery optimal cost[J]. Logistics Sci-Tech,2015(9):139-141.(in Chinese)[2]崔珊珊,陈宏,俆加胜. 电商促销井喷需求下的应急商品配送研究[J]. 中国管理科学,2013(增刊1):141-147.
CUI S S,CHEN H,XU J S. The research on disruption commodity distribution based on explosive demand of e-commerce promotion[J]. Chinese journal of management science,2013(Suppl. 1):141-147.(in Chinese)
[3]TING C J,CHEN C H. Combination of multiple ant colony system and simulated annealing for the multidepot vehicle-routing problem with time windows[J]. Transportation research record journal of the transportation research board,2008(2089):85-92.
[4]ATHANASOPOULOS T,MINIS I. Efficient techniques for the multi-period vehicle routing problem with time windows within a branch and price framework[J]. Annals of operations research,2013,206(1):1-22.
[5]MATUSIAK M,KOSTER R D,KROON L,et al. A fast simulated annealing method for batching precedence-constrained customer orders in a warehouse[J]. European journal of operational research,2014,236(3):968-977.
[6]葛显龙,许茂增,王伟鑫. 多车型车辆路径问题的量子遗传算法研究[J]. 中国管理科学,2013(1):125-133.
GE X L,XU M Z,WANG W X. Study on multi-types vehicle routing problem and its quantum genetic algorithm[J]. Chinese journal of management science,2013(1):125-133.(in Chinese)
[7]TA D,GENDREAU M,DELLAERT N,et al. Vehicle routing with soft time windows and stochastic travel times:a column generation and branch-and-price solution approach[J]. European journal of operational research,2014,236(3):789-799.
[8]于滨,靳鹏欢,杨忠振. 两阶段启发式算法求解带时间窗的多中心车辆路径问题[J]. 系统工程理论与实践,2012(8):1793-1800.
YU B,JIN P H,YANG Z Z. Two-stage heuristic algorithm for multi-depot vehicle routing problem with time windows[J]. Systems engineering-theory and practice,2012(8):1793-1800.(in Chinese)
[9]刘洪娟,甘明,姜玉宏,等. 基于遗传算法的配送中心选址及配送区域划分问题研究[J]. 物流技术,2010(8):43-46.
LIU H J,GAN M,JIANG Y H,et al. Research on distribution center allocation and distribution region division based on genetic algorithm[J]. Logistics technology,2010(8):43-46.(in Chinese)
[10]WANG Y,MA X,XU M,et al. Two-echelon logistics distribution region partitioning problem based on a hybrid particle swarm optimization-genetic algorithm[J]. Expert systems with applications,2015,42(12):5019-5031.
[11]朱培芬,汉吉庆,杨华龙,等. 基于改进K-means算法的烟草配送区域划分[J]. 物流工程与管理,2009(6):84-85.
ZHU P F,HAN J Q,YANG H L,et al. Tobacco distribution area classification based on improved K-means algorithm[J]. Logistics engineering and management,2009(6):84-85.(in Chinese)
[12]李玉鹏,魏俊美,王召同,等. 冷链物流“最后一公里”快速配送方法研究[J]. 工业技术经济,2017(1):51-60.
LI Y P,WEI J M,WANG Z T,et al. Research on rapid delivery of "last mile" of cold-chain logistics[J]. Journal of industrial technological and economics,2017(1): 51-60.(in Chinese)
[13]王旭坪,张珺,马骏. 考虑完成期限的电子商务在线订单分批模型及算法[J]. 管理科学,2014(6):103-113.
WANG X P,ZHANG J,MA J. E-Commerce on-line order batching model and algorithm considering due time[J]. Journal of management science,2014(6):103-113.(in Chinese)
[14]BRUSCO M J,K(¨overO)HN H F. Comment on“clustering by passing messages between data points”[J]. Science,2008,319(5864):726.
[15]左静,帅斌,何凯妮,等. 基于改进熵权聚类SVD的铁路应急救援辅助决策方法[J]. 铁道学报,2017,39(8):18-26.
ZUO J,SHUAI B,HE K N,et al. Assistant decision-making method for railway emergency rescue based on modified entropy weight clustering SVD model[J]. Journal of the China railway society,2017,39(8):18-26.(in Chinese)
[16]RUAN J,WANG X,SHI Y. Developing fast predictors for large-scale time series using fuzzy granular support vector machines[J]. Applied soft computing,2013,13(9):3981-4000.