Decision-making and operation of OTDAS

被引：0
|
作者：
Chang, J [1 ]
Peng, Y [1 ]
机构：
[1] Shenzhen Polytech, Dept Automat, Shenzhen 518055, Peoples R China
来源：
PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9 | 2005年
关键词：
decision-making; genetic algorithms; message passing; multiagent; optimal task decomposition agents; power plant control;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
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页码：102 / 107
页数：6
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