[1] 丛兰强,沈敏德,张贻弓. 密集式自动化仓储技术的新进展[J]. 物流技术,2014,33(10):390-392.CONG Lanqiang,SHEN Minde,ZHANG Yigong. New development of intensive and automatic warehouse technologies[J].Lotitics Technology,2014,33(10):390-392. [2] 马文凯,吴耀华,吴颖颖,等. 基于进化算法的跨巷道多层穿梭车仓储系统的研究[J]. 机械工程学报,2019,55(8):216-224.MA Wenkai,WU Yaohua,WU Yingying,et al. Research on cross-aisles multi-shuttle warehouse system based on evolutionary algorithm[J]. Journal of Mechanical Engineering,2019,55(8):216-224. [3] 于江华. 探究我国物流仓储行业发展现状与趋势[J]. 物流工程与管理,2018,9:30-31.YU Jianghua. Explore the current situation and trend of China's logistics and warehousing industry[J]. Logistics Engineering and Management,2018,9:30-31. [4] MA H,SU S,SIMON D,et al. Ensemble multi-objective biogeography-based optimization with application to automated warehouse scheduling[J]. Engineering Applications of Artificial Intelligence,2015,44:79-90. [5] YU J,Lavalle S M. Optimal multirobot path planning on graphs:Complete algorithms and effective heuristics[J]. IEEE Transactions on Robotics,2016,32(5):1163-1177. [6] LÜ Min,GAO Tong,ZHANG Nian. Research of AGV scheduling and path planning of automatic transport system[J]. International Journal of Control and Automation,2016,9(4):1-10. [7] Ghalehkhondabi I,Masel D T. Storage allocation in a warehouse based on the forklifts fleet availability[J]. Journal of Algorithms and Computational Technology,2018,12(2):127-135. [8] ZHANG Lipeng,LIU Wei,QI Bingnan. Combined prediction for vehicle speed with fixed route[J]. Chinese Journal of Mechanical Engineering,2020,33(1):60. [9] 张飞,张彬,周烽,等. 面向自动仓储的绳索牵引并联机器人构型选择与参数优化[J]. 机械工程学报,2020,56(1):1-8.ZHANG Fei,ZHANG Bin,ZHOU Feng,et al. Configuration selection and parameter optimization of redundantly actuated cable-driven parallel robots[J]. Journal of Mechanical Engineering,2020,56(1):1-8. [10] AUGUSTYN L,TONE L. Effectiveness of product storage policy according to classification criteria and warehouse size[J]. FME Transactions,2019,47(1):142-150. [11] 杨玮,刘江,岳婷,等. 多载具自动化立体仓库货位分配与作业调度集成优化[J]. 计算机集成制造系统,2019,25(1):247-255.YANG Wei,LIU Jiang,YUE Ting,et al. Integrated optimization of location assignment and job scheduling in multi-carrier automated storage and retrieval system[J]. Computer Integrated Manufacturing System,2019,25(1):247-255. [12] 贺长征,宋豫川,雷琦,等. 柔性作业车间多自动导引小车和机器的集成调度[J]. 中国机械工程,2019,30(4):438-447.HE Changzheng,SONG Yuchuan,LEI Qi,et al. Inegreated scheduling of multiple AGVs and machines in flexible job shops[J]. China Mechanical Engineering,2019,30(4):438-447. [13] FANG Yanjun,TANG Meng. The AVS/RS scheduling optimization based on improved AFSA[J]. International Journal of Control and Automation,2014,7(10):53-64. [14] 马昌谱,张一纯. 物流中心自动货物搬运系统2-RGV调度优化模型[J]. 系统工程,2019,37(5):113-120.MA Changpu,ZHANG Yichun. 2-RGV scheduling optimization model for automated cargo handling system in logistics center[J]. System Engineering,2019,37(5):113-120. [15] YU Yadong,MA Haiping,YU Mei,et al. Multipopulation management in evolutionary algorithms and application to complex warehouse scheduling problems[J]. Complexity,2018,2018:4730957. [16] 刘二辉,姚锡凡,陶韬,等. 基于改进花授粉算法的共融AGV作业车间调度[J]. 计算机集成制造系统,2019,25(9):105-122.LIU Erhui,YAO Xifan,TAO Tao,et al. Improved flower pollinaton algorithm for job shop scheduling problems integrated with AGVs[J]. Computer Integrated Manufacturing System,2019,25(9):105-122. [17] XUE Tianfang,ZENG Peng,YU haibin. A reinforcement learning method for multi-AGV scheduling in manufacturing[C]//IEEE International Conference on Industrial Technology,February 20-22,2018,Lyon,France:ICIT,2018:1557-1561. [18] RAHMAN H F,JANARDHANAN M N,NIELSEN P. An integrated approach for line balancing and AGV scheduling towards smart assembly systems[J]. Assembly Automation,2020,40(2):219-234. [19] 熊晔,毛剑琳,郭宁,等. 面向缓冲区容量有限的AGV系统调度研究[J]. 软件导刊,2018,17(1):152-156.XIONG Ye,MAO Jianlin,GUO Ning,et al. Research on scheduling of AGV system with limited buffer capacity[J]. Software Guide,2018,17(1):152-156. [20] 丁扬. 面向密集仓储的多AGV与RGV协同调度研究[D]. 上海:东华大学,2018.DING Yang. Research on multi AGV and RGV cooperative scheduling for dense storage[D]. Shanghai:Donghua University,2018. [21] 张国辉,高亮,李培根,等. 改进遗传算法求解柔性作业车间调度问题[J]. 机械工程学报,2009,45(7):145-151.ZHANG Guohui,GAO Liang,LI Peigen,et al. Improved genetic algorithm for the flexible job-shop scheduling problem[J]. Journal of Mechanical Engineering,2009,45(7):145-151. |