DocumentCode
441585
Title
Decision-Making and Operation of OTDAS
Author
Chang, Jiang ; Peng, Yan
Author_Institution
Department of Automation, ShenZhen Polytechnic, Shenzhen, 518055, China; E-MAIL: changjiang@szpt.edu.cn
Volume
1
fYear
2005
fDate
18-21 Aug. 2005
Firstpage
102
Lastpage
107
Abstract
This paper proposes optimal task decomposition agents (OTDAS) of the multiagent power plant control system. The goal, decision-making and operation of the OTDAS are introduced. The OTDAS optimally decompose the task of power plant control system through an optimization agent and a decomposition agent. The optimization agent makes decision using Genetic Algorithm (GA). The results of the OTDAS show that GA is an effective tool for the agent in making decision.
Keywords
Decision-making; genetic algorithms; message passing; multiagent; optimal task decomposition agents; power plant control; Control systems; Decision making; Genetic algorithms; Intelligent agent; Intelligent control; Message passing; Nonlinear control systems; Optimal control; Power generation; Robust control; Decision-making; genetic algorithms; message passing; multiagent; optimal task decomposition agents; power plant control;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location
Guangzhou, China
Print_ISBN
0-7803-9091-1
Type
conf
DOI
10.1109/ICMLC.2005.1526927
Filename
1526927
Link To Document