nahavandi-hybridantcolony-2003.pdf (955.05 kB)
Hybrid ant colony algorithm for texture classification
conference contribution
posted on 2003-01-01, 00:00 authored by H Zheng, A Wong, Saeid NahavandiWe present a novel ant colony algorithm integrating genetic algorithms and simplex algorithms. This method is able to not only speed up searching process for optimal solutions, but also improve the quality of the solutions. The proposed method is applied to set up a learning model for the "tuned" mask, which is used for texture classification. Experimental results on real world images and comparisons with genetic algorithms and genetic simplex algorithms are presented to illustrate the merit and feasibility of the proposed method.
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Title of proceedings
2003 Congress on Evolutionary Computation, CEC 2003 : proceedings : Canberra, Australia, 8-12 December, 2003.Event
Congress on Evolutionary Computation (2003 : Canberra, A.C.T.)Pagination
2648 - 2652Publisher
IEEE XploreLocation
Canberra, AustraliaPlace of publication
Piscataway, N.J.Start date
2003-12-08End date
2003-12-12ISBN-13
9780780378049ISBN-10
0780378040Language
engNotes
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E1 Full written paper - refereedCopyright notice
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