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.
[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.
[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.
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