Computer Science ›› 2019, Vol. 46 ›› Issue (11A): 72-75, 82.

• Intelligent Computing • Previous Articles     Next Articles

Simulation Research on Offshore Vertical Replenishment Planning Based on Multi-agent

DONG Peng, WU Chong, YU Peng, WEN Hao-lin   

  1. (Department of Management Engineering and Equipment Economic,NavalUniversity of Engineering,Wuhan 430033,China)
  • Online:2019-11-10 Published:2019-11-20

Abstract: In order to optimize the planning of vertical replenishment at sea in formation,this paper developed the optimal vertical replenishment transportation scheme.Firstly,the process of vertical replenishment at sea and the possible situation of material queuing are analyzed.Then,the multi-agent system is used to simulate and model the process of marine replenishment,and the replenishment ship,receiving ship and helicopter are established respectively.Three kinds of agents are used to build a vertical replenishment planning model at sea based on the multi-agent system.The simulation experiments and analysis of the vertical replenishment planning problems in peacetime and wartime were carried out respectively.The simulation results verify the rationality of the simulation model.

Key words: Multi-agent, Underway replenishment, Vertical replenishment, Planning, Simulation

CLC Number: 

  • TP391.9
[1]HARDGRAVE,STEPHEN W.Determining the Feasibility ofReplenishing a Dispersed Carrier Battle Group [D].California:Naval Postgraduate School,1989.
[2]余鹏,何学军.基于蚁群算法的舰艇编队海上补给路径规划方法 [J].海军工程大学学报,2014(2):108-112.
[3]秦芙蓉,罗朝晖,董鹏.基于GTSP问题的舰艇编队海上补给规划[J].兵工自动化,2018(10):28-31.
[4]DUNN J S.Scheduling Underway Replenishment as a Generalized Orienteering Problem [D].California:Navy Postgraduate School,1992.
[5]BROWN G G,DEGRANGE W C,PRICE W L.Scheduling combat logistics force replenishments at sea for the US Navy[J].Navy Research Logistics,2017(8):611-693.
[6]曹守启,邵娇云,陈莹,等.带有等待时间窗的补给运输船航路规划[J].计算机工程及应用,2015,51(1):243-249.
[7]岳奎志,韩维,于承军,等.舰艇编队物资海上分段补给的系统动力学模型 [J].系统仿真学报,2013,25(3).
[8]PATTERSON B L.An analytical approach to the operation of replenishment at sea[D].California:Naval Postgraduate School,1968.
[9]WAGGONER M H.An analytical model for application to the operation of replenishment at sea[D].California:Naval Postgraduate School,1967.
[10]BEVERIDGE J D.An analytical and computer simulation approach to the problem of replenishing task forces at sea[D].California:Naval Postgraduate School,1970.
[11]李杨,徐峰,谢光强,等.多智能体技术发展及其应用综述[J].计算机工程与应用,2018,54(9):13-21.
[1] DU Wei, DING Shi-fei. Overview on Multi-agent Reinforcement Learning [J]. Computer Science, 2019, 46(8): 1-8.
[2] LIU Xiao-zhen,LIU Jing-sen. Distribution Routing Problem Based on Cuckoo Search Algorithm with Directional Mutation [J]. Computer Science, 2019, 46(7): 165-171.
[3] WEN Xi-ming,FANG Liang-da,YU Quan,CHANG Liang,WANG Ju. Knowledge Forgetting in Multi-agent Modal Logic System KD45n [J]. Computer Science, 2019, 46(7): 195-205.
[4] ZHONG Mei-su, YANG Yong-sheng, ZHOU Ya-min. Free-conflict AGV Path Planning in Automated Terminals Based on Speed Control [J]. Computer Science, 2019, 46(7): 308-314.
[5] YANG Xiao-jun, XU Zhong-fu, ZHANG Xing, SUN Dan-hui. Overview and Difficulties Analysis on Credibility Assessment of Simulation Models [J]. Computer Science, 2019, 46(6A): 23-29.
[6] ZENG Le-tian, YANG Chun-hui, LI Qiang, CHEN Ping. Validation of Synthetic Aperture Radar(SAR) Imaging Algorithm Based on Simulation [J]. Computer Science, 2019, 46(6A): 287-290.
[7] ZHAO Xin-ye, YANG Guang, WANG Yi-tao, WANG Dong. Research and Design of General Class Library for Cruise Missile Dynamic Simulation [J]. Computer Science, 2019, 46(6A): 585-588.
[8] ZHANG Jian-xin, LIU Hong, LI Yan. Efficient Grouping Method for Crowd Evacuation [J]. Computer Science, 2019, 46(6): 231-238.
[9] ZHANG Sen, LIU Wen-qi, ZHAO Ning. Research of Consensus in Multi-agent Systems on Complex Network [J]. Computer Science, 2019, 46(4): 95-99.
[10] YANG Ying, YANG Wu-de, WU Hua-rui, MIAO Yi-sheng. Mobile Sink Based Data Collection Strategy for Farmland WSN [J]. Computer Science, 2019, 46(4): 106-111.
[11] CHAI Hui-min, FANG Min, LV Shao-nan. Local Path Planning of Mobile Robot Based on Situation Assessment Technology [J]. Computer Science, 2019, 46(4): 210-215.
[12] CHENG Hao-hao, YANG Sen, QI Xiao-hui. Online Obstacle Avoidance and Path Planning of Quadrotor Oriented to Urban Environment [J]. Computer Science, 2019, 46(4): 241-246.
[13] XI Feng-fei, ZENG Xi, JI Shi-ming, CHEN Guo-da, CAI Chao-peng. Path Planning of Mobile Robot Based on PG-RRT Algorithm [J]. Computer Science, 2019, 46(4): 247-253.
[14] LI Shan-shan, LIU Fu-jiang, LIN Wei-hua. Path Planning Method of Large-scale Fire Based on Multiple Starting Points and Multiple Rescue Points [J]. Computer Science, 2019, 46(11A): 134-137.
[15] SUN Yi-bin, YANG Hui-zhen. Path Planning Based on Pulse Coupled Neural Networks with Directed Constraint [J]. Computer Science, 2019, 46(11A): 28-32.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] DU Wei, DING Shi-fei. Overview on Multi-agent Reinforcement Learning[J]. Computer Science, 2019, 46(8): 1 -8 .
[2] GAO Li-zheng, ZHOU Gang, LUO Jun-yong, LAN Ming-jing. Survey on Meta-event Extraction[J]. Computer Science, 2019, 46(8): 9 -15 .
[3] CAI Li, LI Ying-zi, JIANG Fang, LIANG Yu. Study on Clustering Mining of Imbalanced Data Fusion Towards Urban Hotspots[J]. Computer Science, 2019, 46(8): 16 -22 .
[4] YANG Zhen, WANG Hong-jun. Important Location Identification of Mobile Users Based on Trajectory Division and Density Clustering Method[J]. Computer Science, 2019, 46(8): 23 -27 .
[5] DENG Cun-bin, YU Hui-qun, FAN Gui-sheng. Integrating Dynamic Collaborative Filtering and Deep Learning for Recommendation[J]. Computer Science, 2019, 46(8): 28 -34 .
[6] ZHONG Feng-yan, WANG Yan, LI Nian-shuang. Node Selection Scheme for Data Repair in Heterogeneous Distributed Storage Systems[J]. Computer Science, 2019, 46(8): 35 -41 .
[7] SUN Guo-dao, ZHOU Zhi-xiu, LI Si, LIU Yi-peng, LIANG Rong-hua. Spatio-Temporal Evolution of Geographical Topics[J]. Computer Science, 2019, 46(8): 42 -49 .
[8] ZHANG Hui-bing, ZHONG Hao, HU Xiao-li. User Reviews Clustering Method Based on Topic Analysis[J]. Computer Science, 2019, 46(8): 50 -55 .
[9] LI Bo-jia, ZHANG Yang-sen, CHEN Ruo-yu. Method for Generating Massive Data with Assignable Distribution[J]. Computer Science, 2019, 46(8): 56 -63 .
[10] LU Xian-guang, DU Xue-hui, WANG Wen-juan. Alert Correlation Algorithm Based on Improved FP Growth[J]. Computer Science, 2019, 46(8): 64 -70 .