基于二进制粒子群的救援仿真机器人决策

Abstract

Abstract: The agent decision-making process in RoboCup-Rescuesimulation system needs to weigh its own mission and collaboration activities of multi-agents so as to make the best decision in complicated multi-tasks environment.First,the binary particle swarm optimization algorithm is applied to RoboCup-rescue decision making process.Then,best decision can be obtained by the evaluation of RoboCup-rescue tasks and the use of inertial particle iterationmethod.Finally,the test results from the RoboCup-Rescue simulation system proves that this method can improve the rescue performance effectively.

Key words: intelligent robot, multi-agent system, binary particle swarm-optimizationn, robocup-rescue

CLC Number:

TP18

LIU Wei, WANG Hao, FANG Bao-fu. RoboCup-Rescue Decision Making Process Based on Binary Particle Swarm Optimization[J].Journal of Guangxi Normal University(Natural Science Edition), 2011, 29(2): 130-133.

References

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RoboCup-Rescue Decision Making Process Based on Binary Particle Swarm Optimization

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