Termite tunneling feature extraction using genetic algorithm

被引：0
|
作者：
Lee, Malrey [1 ]
Kang, Eun-Kwan [2 ]
机构：
[1] ChonBuk Natl Univ, Ctr Adv Image & Informat Technol, Sch Elect & Informat Engn, Jeonju 561756, Chon Buk, South Korea
[2] JeonJu Univ, Dept Multimedia, Jeonju, South Korea
来源：
SOFT COMPUTING | 2012年 / 16卷 / 03期
基金：
新加坡国家研究基金会;
关键词：
Genetic algorithm; Information relevance; Feature extraction; Path planning; Termite tunneling; FEATURE-SELECTION; PATTERN; LENGTH; SEARCH;
D O I：
10.1007/s00500-011-0726-z
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Path design uses information about termite reproduction and the termite environment necessary for tunneling. Features are extracted by analyzing relevance of this information, and the fitness and relevance of these features are evaluated. The proposed method is demonstrated and is capable of finding various optimal termite tunneling paths.
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页码：419 / 425
页数：7
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