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2004 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'04)
A Comparison of Team Evolution Operators
Beijing, China
September 20-September 24
ISBN: 0-7695-2101-0
ASCII Text
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Dehu Qi, Ron Sun, "A Comparison of Team Evolution Operators," Intelligent Agent Technology, IEEE / WIC / ACM International Conference on, pp. 369-372, 2004 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'04), 2004.
 
 
BibTex
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@article{ 10.1109/IAT.2004.1342973,
author = {Dehu Qi and Ron Sun},
title = {A Comparison of Team Evolution Operators},
journal ={Intelligent Agent Technology, IEEE / WIC / ACM International Conference on},
volume = {0},
year = {2004},
isbn = {0-7695-2101-0},
pages = {369-372},
doi = {http://doi.ieeecomputersociety.org/10.1109/IAT.2004.1342973},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Intelligent Agent Technology, IEEE / WIC / ACM International Conference on
TI - A Comparison of Team Evolution Operators
SN - 0-7695-2101-0
SP369
EP372
A1 - Dehu Qi,
A1 - Ron Sun,
PY - 2004
KW - null
VL - 0
JA - Intelligent Agent Technology, IEEE / WIC / ACM International Conference on
ER -
 
Dehu Qi, Lamar University, Beaumont, Texas
Ron Sun, Rensselaer Polytechnic Institute 110, Troy, NY
One of the main research topics in Multi-Agent Systems is learning cooperation among agents. In the MARLBS system, we use genetic algorithms to evolve neural networks, which enhances the cooperation between agents. In this paper, we examine several evolutionary operators to evolve a team, in which team members cooperate with each other to solve problems. The best operators found from experiments efficiently reduce learning time.
Citation:
Dehu Qi, Ron Sun, "A Comparison of Team Evolution Operators," iat, pp.369-372, 2004 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'04), 2004
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