Nothing Special   »   [go: up one dir, main page]

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

• 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, Planning, Simulation, Underway replenishment, Vertical replenishment

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] LUO Xiong-feng, ZHAI Xiang-ping. Collision Avoidance Planning for Unmanned Aerial Vehicles Based on Spatial Motion Constraints [J]. Computer Science, 2022, 49(9): 194-201.
[2] DOU Jia-wei. Privacy-preserving Hamming and Edit Distance Computation and Applications [J]. Computer Science, 2022, 49(9): 355-360.
[3] GUO Zheng-wei, FU Ze-wen, LI Ning, BAI Lan. Study on Acceleration Algorithm for Raw Data Simulation of High Resolution Squint Spotlight SAR [J]. Computer Science, 2022, 49(8): 178-183.
[4] SHI Dian-xi, ZHAO Chen-ran, ZHANG Yao-wen, YANG Shao-wu, ZHANG Yong-jun. Adaptive Reward Method for End-to-End Cooperation Based on Multi-agent Reinforcement Learning [J]. Computer Science, 2022, 49(8): 247-256.
[5] WANG Bing, WU Hong-liang, NIU Xin-zheng. Robot Path Planning Based on Improved Potential Field Method [J]. Computer Science, 2022, 49(7): 196-203.
[6] PENG Shuang, WU Jiang-jiang, CHEN Hao, DU Chun, LI Jun. Satellite Onboard Observation Task Planning Based on Attention Neural Network [J]. Computer Science, 2022, 49(7): 242-247.
[7] GAO Ya, ZHAO Ning, LIU Wen-qi. Dependence Analysis Among Service Stations in Tandem Queueing Systems [J]. Computer Science, 2022, 49(7): 304-309.
[8] LI Tang, QIN Xiao-lin, CHI He-yu, FEI Ke. Secure Coordination Model for Multiple Unmanned Systems [J]. Computer Science, 2022, 49(7): 332-339.
[9] YANG Hao-xiong, GAO Jing, SHAO En-lu. Vehicle Routing Problem with Time Window of Takeaway Food ConsideringOne-order-multi-product Order Delivery [J]. Computer Science, 2022, 49(6A): 191-198.
[10] GAO Wen-long, ZHOU Tian-yang, ZHU Jun-hu, ZHAO Zi-heng. Network Attack Path Discovery Method Based on Bidirectional Ant Colony Algorithm [J]. Computer Science, 2022, 49(6A): 516-522.
[11] TAN Ren-shen, XU Long-bo, ZHOU Bing, JING Zhao-xia, HUANG Xiang-sheng. Optimization and Simulation of General Operation and Maintenance Path Planning Model for Offshore Wind Farms [J]. Computer Science, 2022, 49(6A): 795-801.
[12] LUO Jun-ren, ZHANG Wan-peng, LU Li-na, CHEN Jing. Survey on Online Adversarial Planning for Real-time Strategy Game [J]. Computer Science, 2022, 49(6): 287-296.
[13] ZHANG Ming-xin. Conceptual Model for Large-scale Social Simulation [J]. Computer Science, 2022, 49(4): 16-24.
[14] WANG Qi, WANG Gang-qiao, CHEN Yong-qiang, LIU Yi. Integrated Modeling Method and Application System for Social Computing [J]. Computer Science, 2022, 49(4): 25-29.
[15] SHEN Biao, SHEN Li-wei, LI Yi. Dynamic Task Scheduling Method for Space Crowdsourcing [J]. Computer Science, 2022, 49(2): 231-240.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!