Study on multi-robot pursuit based on ANN optimized by AIAE

YANG Xing; TAN Guan-zheng

doi:10.13873/j.1000-97872007.08.011

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Study on multi-robot pursuit based on ANN optimized by AIAE

更新时间：2025-09-11

- Study on multi-robot pursuit based on ANN optimized by AIAE
- Issue 8, Pages: 16-19(2007)
- 作者机构：
  
  1. 中南大学信息科学与工程学院
  2. 中南大学信息科学与工程学院,湖南,长沙,410083
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872007.08.011
  CLC： TP242
- Published：2007
- 稿件说明：
移动端阅览
[1]杨星,谭冠政.基于改进的AIA优化ANN的多移动机器人追捕研究[J].传感器与微系统,2007(08):16-19.

YANG Xing, TAN Guan-zheng. Study on multi-robot pursuit based on ANN optimized by AIAE[J]. 2007, (8): 16-19.
[1]杨星,谭冠政.基于改进的AIA优化ANN的多移动机器人追捕研究[J].传感器与微系统,2007(08):16-19. DOI： 10.13873/j.1000-97872007.08.011.

YANG Xing, TAN Guan-zheng. Study on multi-robot pursuit based on ANN optimized by AIAE[J]. 2007, (8): 16-19. DOI： 10.13873/j.1000-97872007.08.011.

摘要

建立了一个包含多个捕猎机器人和单个猎物机器人的动态空间模型

并构建了捕猎机器人的AIAE-ANN行为决策系统。人工神经网络（ANN）所有的连接权值采用改进型人工免疫算法（AIAE）进行优化

使神经网络的性能不断得到进化

最终可生成一个性能优良的行为决策系统

从而完成捕猎机器人的围捕。仿真实验表明:用AIAE训练

能有效地应用于追捕系统的多移动机器人研究。

Abstract

A dynamic environment with some predator robots and one prey and the artificial immune algorithm with elitism and artificial neural network（AIAE-ANN） behavior decision-making system are constructed.The AIAE is used to optimize the connection weight values of this neural network

which made the performance of the neural network to be evolved continuously and finally a behavior decision-making system with good performance can be obtained and the predator robots encircled the prey.Simulation experiments show the feasibility and validity of the given algorithm in the research of the multi-robot system in the pursuit game.

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references

人工神经网络与模拟进化计算[M]. 清华大学出版社 , 阎平凡,张长水编著, 2005

Realization of emergent behavior in collective autonomous mobile agents using an artificial neural network and a genetic algorithm [J] . Malrey Lee,Suchong Joo,HeeSook Kim. Neural Computing and Applications . 2004 (3)

Talking Helps: Evolving Communicating Agents for the Predator-Prey Pursuit Problem [J] . Kam-Chuen Jim,C. Lee Giles. Artificial Life . 2000 (3)

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