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Browse Conference Publications > Neural Networks, 2009. IJCNN ... Help

Parallel ant colony optimizers with local and global ants

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2 Author(s)
Koshimizu, H. ; Dept. of Electr. & Electron. Eng., Hosei Univ., Tokyo, Japan ; Saito, T.

This paper studies the ant colony optimizer with parallel processing function based on adaptive resonance theory map. The optimizer has two groups of ants: local ants that is assigned to search in a subspace and global ants for global search. Effective communication between local and global ants is key to realize desired optimization. Applying the algorithm to typical bench marks, we can suggest that the optimizer can realize adaptive and fast search of solutions.

Published in:
Neural Networks, 2009. IJCNN 2009. International Joint Conference on

Date of Conference: 14-19 June 2009

Page(s):
1655 - 1659
ISSN :
1098-7576
E-ISBN :
978-1-4244-3553-1
Print ISBN:
978-1-4244-3548-7
INSPEC Accession Number:
10802621
Conference Location :
Atlanta, GA
Digital Object Identifier :
10.1109/IJCNN.2009.5178968
Product Type:
Conference Publications

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