Optimal Task Decomposition Agents of the Multiagent Power Plant Control System
نویسندگان
چکیده
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. Index Terms Decision-making, genetic algorithms, message passing, multiagent, optimal task decomposition agents, power plant control
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