Heuristic Optimization Algorithms for a Tree-Based Image Dissimilarity Measure

被引：1
|
作者：
Zielinski, Bartlomiej [1 ]
Iwanowski, Marcin [1 ]
机构：
[1] Warsaw Univ Technol, Inst Control & Ind Elect, PL-00662 Warsaw, Poland
来源：
PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON COMPUTER RECOGNITION SYSTEMS CORES 2013 | 2013年 / 226卷
关键词：
D O I：
10.1007/978-3-319-00969-8_9
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we present an application of three heuristic optimization algorithms to computing tree-based image dissimilarity. Genetic algorithm, particle swarm optimization and simulated annealing have been applied to optimize a black-box function which aims to determine a difference between two trees, constructed upon binary images. Presented results show that the particle swarm optimization achieved the best results. Both PSO and the simulated annealing outperformed the genetic algorithm. We also draw conclusions on parameter adjustment for the considered methods.
引用
收藏
页码：91 / 100
页数：10
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