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A Study of Distributed Parallel Processing for Queen Ant Strategy in Ant Colony Optimization
Dalian, China December 05-December 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PDCAT.2005.50Sixth International Conference on Par ...
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Ichiro Iimura, Koji Hamaguchi, Toshiya Ito, Shigeru Nakayama, "A Study of Distributed Parallel Processing for Queen Ant Strategy in Ant Colony Optimization," Parallel and Distributed Computing Applications and Technologies, International Conference on, pp. 553-557, Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05), 2005.
 
 
BibTex
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@article{ 10.1109/PDCAT.2005.50,
author = {Ichiro Iimura and Koji Hamaguchi and Toshiya Ito and Shigeru Nakayama},
title = {A Study of Distributed Parallel Processing for Queen Ant Strategy in Ant Colony Optimization},
journal ={Parallel and Distributed Computing Applications and Technologies, International Conference on},
volume = {0},
year = {2005},
isbn = {0-7695-2405-2},
pages = {553-557},
doi = {http://doi.ieeecomputersociety.org/10.1109/PDCAT.2005.50},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Parallel and Distributed Computing Applications and Technologies, International Conference on
TI - A Study of Distributed Parallel Processing for Queen Ant Strategy in Ant Colony Optimization
SN - 0-7695-2405-2
SP553
EP557
A1 - Ichiro Iimura,
A1 - Koji Hamaguchi,
A1 - Toshiya Ito,
A1 - Shigeru Nakayama,
PY - 2005
KW - null
VL - 0
JA - Parallel and Distributed Computing Applications and Technologies, International Conference on
ER -
 
Ichiro Iimura, University of Kumamoto
Koji Hamaguchi, Software Vision Co., Ltd., Japan
Toshiya Ito, Kagoshima University, Japan
Shigeru Nakayama, Kagoshima University, Japan
This paper proposes a distributed parallel processing of Queen Ant Strategy named "ASqueen" which imitated an ant society where a queen ant governs. It is noted that the proposed processing method achieves "shortening of average time for search" and "improvement of searching ability" at the same time in seventy-six cities? configuration of traveling salesman problem.
Citation:
Ichiro Iimura, Koji Hamaguchi, Toshiya Ito, Shigeru Nakayama, "A Study of Distributed Parallel Processing for Queen Ant Strategy in Ant Colony Optimization," pdcat, pp.553-557, Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05), 2005
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