DocumentCode :
1806818
Title :
Research on optimal resource allocation of shipboard fluid system based on multi-agent
Author :
Qin Jiu-feng ; Zeng Fan-ring ; Chen Yu-tao ; Li Jie ; Pan Xing-long
Author_Institution :
Coll. of Naval Archit. & Power, Naval Univ. of Eng., Wuhan, China
Volume :
4
fYear :
2011
fDate :
24-26 Dec. 2011
Firstpage :
2565
Lastpage :
2569
Abstract :
In consideration of the diversity of ship mission, uncertainty of the environment and the requirements for the intelligent management of marine power platform, the technology of multi-agent is introduced into the autonomous operation of shipboard fluid system and the hierarchical architecture of multi-agent intelligent control is presented. The method of optimal resource allocation with the existence of uncertainty is analyzed. Firstly, the resource allocation problem is formulated as a loosely coupled Markov decision process (MDP) and the multi-agent MDP model is established. Then the optimal resource allocation is achieved by following the optimal policy which is obtained by using genetic algorithm (GA) based on the model. Lastly, the performance of the optimal policy is examined in the emulation. The research can afford some academic guidance for raising the level of intelligence, reducing the manpower for ship operation, and increasing the mission effectiveness.
Keywords :
Markov processes; control engineering computing; decision making; genetic algorithms; multi-agent systems; naval engineering computing; resource allocation; ships; Markov decision process; autonomous shipboard fluid system operation; genetic algorithm; marine power platform; multiagent MDP model; multiagent intelligent control; multiagent technology; optimal resource allocation; ship mission; Process control; Markov decision process (MDP); Multi-Agent; Resource allocation; Shipboard fluid system; genetic algorithm (GA);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-1586-0
Type :
conf
DOI :
10.1109/ICCSNT.2011.6182492
Filename :
6182492
Link To Document :
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