[1] Iassinovskaia G, Limbourg S, Riane F. The inventory-routing problem of returnable transport items with time windows and simultaneous pickup and delivery in closed-loop supply chains[J]. International Journal of Production Economics, 2016, 183: 570-582. [2] Min H. The multiple vehicle routing problem with simultaneous delivery and pickup[J]. Transportation Research Part A General, 1989, 23(89): 377-386. [3] Bednáǐ J, Kalvová J, Smolen R F. A hybrid particle swarm optimization for vehicle routing problem with simultaneous pickup and delivery[J]. Computers & Industrial Engineering, 2013, 65(1): 39-53. [4] Chen J, Wu T. Vehicle routing problem with simultaneous deliveries and pickups[J]. Journal of the Operational Research Society, 2006, 57(5): 579-587. [5] Dethloff J. Vehicle routing and reverse logistics: the vehicle routing problem with simultaneous delivery and pick-up[J]. OR-Spektrum, 2001, 23(1): 79-96. [6] Luo Z, Qin H, Zhang D. Adaptive large neighborhood search heuristics for the vehicle routing problem with stochastic demands and weight-related cost[J]. Transportation Research Part E Logistics & Transportation Review, 2016, 85: 69-89. [7] Goodson J. A priori policy evaluation and cyclic-order-based simulated annealing for the multi-compartment vehicle routing problem with stochastic demands[J]. European Journal of Operational Research, 2015, 241(2): 361-369. [8] Zhang J, Lam W H K, Chen B. On-time delivery probabilistic models for the vehicle routing problem with stochastic demands and time windows[J]. European Journal of Operational Research, 2016, 249(1): 144-154. [9] Shi Y, Boudouh T, Grunder O. A hybrid genetic algorithm for a home health care routing problem with time window and fuzzy demand[J]. Expert Systems with Applications, 2016, 72: 160-176. [10] Brito J, Martínez F, Moreno J, Verdegay J. An ACO hybrid metaheuristic for close-open vehicle routing problems with time windows and fuzzy constraints[J]. Applied Soft Computing, 2015, 32: 154-163. [11] Nadizadeh A, Nasab H. Solving the dynamic capacitated location-routing problem with fuzzy demands by hybrid heuristic algorithm[J]. European Journal of Operational Research, 2014, 238(2): 458-470. [12] 颜瑞,张群,胡睿.考虑三维装箱约束的多车场车辆路径问题[J].管理工程学报,2016,30(1):108-116. [13] 刘艳秋,徐世达,张颖,李佳.考虑路径可行性与仓储集货模式下的回收车辆路径问题研究[J].中国管理科学,2016,24(12):98-107. [14] 王道平,徐展,杨岑.基于两阶段启发式算法的物流配送选址-路径问题研究[J].运筹与管理,2017,26(4):70-75. [15] 符卓,刘文,邱萌.带软时间窗的需求依订单拆分车辆路径问题及其禁忌搜索算法[J].中国管理科学,2017,25(5):78-86. [16] 熊浩,鄢慧丽.需求可拆分车辆路径问题的三阶段禁忌算法[J].系统工程理论与实践,2015,35(5):1230-1235. [17] Xu J, Ma Y, Xu Z. A bilevel model for project scheduling in a fuzzy random environment[J]. IEEE Transactions on Systems Man & Cybernetics Systems, 2015, 45(10): 1322-1335. [18] Ma Y, Xu J. A cloud theory-based particle swarm optimization for multiple decision maker vehicle routing problems with fuzzy random time windows[J]. Engineering Optimization, 2015, 47(6): 825-842. [19] Eberhart R, Kennedy J. A new optimizer using particle swarm theory[A]. In Takeyoshi Nishio. International Symposium on MICRO Machine and Human Science[C]. Nagoya, IEEE, 1995: 39-43. [20] Veeramachaneni K, Peram T, Mohan C, Osadciw LA. Optimization using particle swarms with near neighbor interactions[A]. In: Cantú-Paz E. International conference on genetic and evolutionary computation: part I[C]. Chicago, Springer-Verlag, 2003: 110-121. [21] Ai T, Kachitvichyanukul V. A particle swarm optimization for the vehicle routing problem with simultaneous pickup and delivery[J]. Computers & Operations Research, 2009, 36(5): 1693-1702. [22] Ma Y, Yan F, Kang K, Wei X. A novel integrated production-distribution planning model with conflict and coordination in a supply chain network[J]. Knowledge-Based Systems, 2016, 105: 119-133. [23] 林闯,陈莹,黄霁崴,向旭东.服务计算中服务质量的多目标优化模型与求解研究[J].计算机学报,2015,38(10):1907-1923. |