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A Study of Distributed Parallel Processing for Queen Ant Strategy in Ant Colony Optimization

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4 Author(s)
I. Iimura ; University of Kumamoto ; K. Hamaguchi ; T. Ito ; S. Nakayama

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.

Published in:

Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05)

Date of Conference:

05-08 Dec. 2005