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Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)
Multi-Issue Negotiation Research Based On Niched Co-evolutionary Genetic Algorithm
Haier International Training Center, Qingdao, China
July 30-August 01
ISBN: 0-7695-2909-7
ASCII Text
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Yong Yuan, Yong-quan Liang, "Multi-Issue Negotiation Research Based On Niched Co-evolutionary Genetic Algorithm," Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on, vol. 1, pp. 564-569, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007.
 
 
BibTex
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@article{ 10.1109/SNPD.2007.433,
author = {Yong Yuan and Yong-quan Liang},
title = {Multi-Issue Negotiation Research Based On Niched Co-evolutionary Genetic Algorithm},
journal ={Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on},
volume = {1},
year = {2007},
isbn = {0-7695-2909-7},
pages = {564-569},
doi = {http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.433},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
TI - Multi-Issue Negotiation Research Based On Niched Co-evolutionary Genetic Algorithm
SN - 0-7695-2909-7
SP564
EP569
A1 - Yong Yuan,
A1 - Yong-quan Liang,
PY - 2007
KW - null
VL - 1
JA - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
ER -
 
Yong Yuan, Shandong University of Science and Technology, China
Yong-quan Liang, Shandong University of Science and Technology, China
This paper presents a simulation algorithm called SANCGA for bilateral multi-issue negotiation based on co-evolutionary genetic algorithm and isolated niche technique, and designs an experiment to simulate the co-evolutionary strategy learning process in an alternating offer negotiation scenario. The experiment results validate that SANCGA algorithm can form local niches in the strategy populations and generate an approximate Pareto optimal strategy set.
Citation:
Yong Yuan, Yong-quan Liang, "Multi-Issue Negotiation Research Based On Niched Co-evolutionary Genetic Algorithm," snpd, vol. 1, pp.564-569, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
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