Hybrid ant colony algorithm for texture classification

被引：0
|
作者：
Zheng, H [1 ]
Wong, A [1 ]
Nahavandi, S [1 ]
机构：
[1] Deakin Univ, Sch Engn & Technol, Geelong, Vic 3217, Australia
来源：
CEC: 2003 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-4, PROCEEDINGS | 2003年
关键词：
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
This paper presents 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. In this paper, 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.
引用
收藏
页码：2648 / 2652
页数：5
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