[1] 方维维,王云鹏,张昊,等.基于多智能体深度强化学习的车联网通信资源分配优化[J].北京交通大学学报,2022,46(2):64-72. FANG W W,WANG Y P,ZHANG H,et al.Optimized communication resource allocation in vehicular networks based on multi-agent deep reinforcement learning[J].Journal of Beijing Jiaotong University,2022,46(2):64-72.(in Chinese) [2] ZHANG H B,WANG Z X,LIU K J.V2X offloading and resource allocation in SDN-assisted MEC-based vehicular networks[J].China Communications,2020,17(5):266-283. [3] LIANG L,LI G Y,XU W.Resource allocation for D2D-enabled vehicular communications[J].IEEE Transactions on Communications,2017,65(7):3186-3197. [4] VAN LE D,THAM C K.Quality of service aware computation offloading in an ad-hoc mobile cloud[J].IEEE Transactions on Vehicular Technology,2018,67(9):8890-8904. [5] HOU X S,LI Y,CHEN M,et al.Vehicular fog computing:a viewpoint of vehicles as the infrastructures[J].IEEE Transactions on Vehicular Technology,2016,65(6):3860-3873. [6] JANG I,CHOO S,KIM M,et al.The software-defined vehicular cloud:a new level of sharing the road[J].IEEE Vehicular Technology Magazine,2017,12(2):78-88. [7] REN J K,YU G D,HE Y H,et al.Collaborative cloud and edge computing for latency minimization[J].IEEE Transactions on Vehicular Technology,2019,68(5):5031-5044. [8] ZHENG X,CHEN Y F,ALAM M,et al.Multi-task scheduling based on classification in mobile edge computing[J].Electronics,2019,8(9):938. [9] 程鹏,张文柱,谢书翰,等.基于移动边缘计算的车联网任务卸载研究与仿真[J].系统仿真学报,2022,34(6):1304-1311. CHENG P,ZHANG W Z,XIE S H,et al.Research and simulation of Internet of vehicles task offloading based on mobile edge computing[J].Journal of System Simulation,2022,34(6):1304-1311.(in Chinese) [10] 温琦丽,洪高风,苏伟.一种基于车联网的边缘云资源分配优化方案[J].电信科学,2019,35(S2):185-190. WEN Q L,HONG G F,SU W.An edge cloud resource allocation optimization based on Internet of vehicles[J].Telecommunications Science,2019,35(S2):185-190.(in Chinese) [11] 李智勇,王琦,陈一凡,等.车辆边缘计算环境下任务卸载研究综述[J].计算机学报,2021,44(5):963-982. LI Z Y,WANG Q,CHEN Y F,et al.A survey on task offloading research in vehicular edge computing[J].Chinese Journal of Computers,2021,44(5):963-982.(in Chinese) [12] AL-KHATIB A A,KHELIL A.Priority- and reservation-based slicing for future vehicular networks[C]//Proceedings of the 6th IEEE Conference on Network Softwarization.Washington D.C.,USA:IEEE Press,2020:36-42. [13] 林峰,罗铖文,丁鹏举,等.车联网中自适应联合计算卸载资源分配算法[J].计算机工程与设计,2021,42(7):1824-1830. LIN F,LUO C W,DING P J,et al.Resource allocation algorithm for adaptive joint computing offloading in C-V2X[J].Computer Engineering and Design,2021,42(7):1824-1830.(in Chinese) [14] 李一兵,王宁馨,吕威.蜂窝车联网中基于服务异构性的V2V通信资源分配算法研究[J].电子与信息学报,2022,44(3):1-8. LI Y B,WANG N X,LÜ W.Research on resource allocation algorithm based on service heterogeneity in V2V communication in C-V2X[J].Journal of Electronics & Information Technology,2022,44(3):1-8.(in Chinese) [15] 黄晓舸,王永生,赖晨彬,等.车联网基于信任度的RSU识别及资源分配算法[J].北京邮电大学学报,2021,44(2):109-115. HUANG X G,WANG Y S,LAI C B,et al.Trust degree based RSU recognition and resource allocation in vehicular networks[J].Journal of Beijing University of Posts and Telecommunications,2021,44(2):109-115.(in Chinese) [16] 亓伟敬,宋清洋,郭磊.面向软件定义多模态车联网的双时间尺度RAN切片资源分配[J].通信学报,2022,43(4):60-70. QI W J,SONG Q Y,GUO L.Dual time scale resource allocation for RAN slicing in software-defined oriented polymorphic IoV[J].Journal on Communications,2022,43(4):60-70.(in Chinese) [17] WEI W T,YANG R Y,GU H X,et al.Multi-objective optimization for resource allocation in vehicular cloud computing networks[J].IEEE Transactions on Intelligent Transportation Systems,2022,23(12):25536-25545. [18] SUN Y,LIN F H,XU H T.Multi-objective optimization of resource scheduling in fog computing using an improved NSGA-II[J].Wireless Personal Communications,2018,102(2):1369-1385. [19] BADER J,ZITZLER E.HypE:an algorithm for fast hypervolume-based many-objective optimization[J].Evolutionary Computation,2011,19(1):45-76. [20] ZHANG K,CHEN M S,XU X,et al.Multi-objective evolution strategy for multimodal multi-objective optimization[J].Applied Soft Computing,2021,101:107004. [21] 耿焕同,周利发,丁洋洋,等.基于局部线性嵌入与差分进化的MOEA/D算法[J].计算机工程,2019,45(3):162-168. GENG H T,ZHOU L F,DING Y Y,et al.MOEA/D algorithm based on locally linear embedding and differential evolution[J].Computer Engineering,2019,45(3):162-168.(in Chinese) [22] 耿焕同,韩伟民,丁洋洋,等.基于自适应邻域策略的改进型MOEA/D算法[J].计算机工程,2019,45(5):161-168. GENG H T,HAN W M,DING Y Y,et al.Improved MOEA/D algorithm based on adaptive neighborhood strategy[J].Computer Engineering,2019,45(5):161-168.(in Chinese) [23] 李林林,刘东梅,王显鹏.基于改进MOEA/D的多目标置换流水车间调度问题[J].计算机集成制造系统,2021,27(7):1929-1940. LI L L,LIU D M,WANG X P.Multi-objective permutation flowshop scheduling problem based on improved MOEA/D[J].Computer Integrated Manufacturing Systems,2021,27(7):1929-1940.(in Chinese) [24] 欧阳洪才,吴定会,范俊岩,等.基于改进MOEA/D算法的钢铁多介质能源计划优化[J/OL].系统仿真学报:1-11[2022-02-03].https://doi.org/10.16182/j.issn1004731x.joss.21-1110. OUYANG H C,WU D H,FAN J Y,et al.Multi-media energy planning optimization of steel based on improved MOEA/D algorithm[J/OL].Journal of System Simulation:1-11[2022-02-03].https://doi.org/10.16182/j.issn1004731x.joss.21-1110.(in Chinese) [25] 刘传玉,熊伟丽.基于I-MOEA/D算法的污水处理过程多目标优化控制[J/OL].控制工程:1-9[2022-02-03].https://doi.org/10.14107/j.cnki.kzgc.20210953. LIU C Y,XIONG W L.Multi-objective optimal control of wastewater treatment process based on I-MOEA/D algorithm[J/OL].Control Engineering of China:1-9[2022-02-03].https://doi.org/10.14107/j.cnki.kzgc.20210953.(in Chinese) |