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Hybrid ant colony algorithm for texture classification

Zheng, Hong, Wong, Alan and Nahavandi, Saeid 2003, Hybrid ant colony algorithm for texture classification, in 2003 Congress on Evolutionary Computation, CEC 2003 : proceedings : Canberra, Australia, 8-12 December, 2003., IEEE Xplore, Piscataway, N.J., pp. 2648-2652.

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Title Hybrid ant colony algorithm for texture classification
Author(s) Zheng, Hong
Wong, Alan
Nahavandi, Saeid
Conference name Congress on Evolutionary Computation (2003 : Canberra, A.C.T.)
Conference location Canberra, Australia
Conference dates 8-12 December 2003
Title of proceedings 2003 Congress on Evolutionary Computation, CEC 2003 : proceedings : Canberra, Australia, 8-12 December, 2003.
Editor(s) Sarker, Ruhul
Publication date 2003
Start page 2648
End page 2652
Publisher IEEE Xplore
Place of publication Piscataway, N.J.
Summary We 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.
Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
ISBN 0780378040
9780780378049
Language eng
Field of Research 080201 Analysis of Algorithms and Complexity
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30005222

Document type: Conference Paper
Collections: School of Engineering and Technology
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