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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1526927
