mk:his03
Summary
Concurrent Application of Genetic Algorithm in Pattern Recognition. Mario Köppen and Evgenia Dimitriadou. In Design and Application of Hybrid Intelligent Systems, pages 868-877, 2003.
Abstract
This paper proposes the fitness control procedure for the application of genetic algorithms (GA) in pattern recognition. Instead of using GA to solve a concomitant optimization problem, the task is rather represented as a set of data bitstrings, and a similarity measure among those data bitstrings. Then, the GA is used to select the subgroup yielding highest mutual similarity. The paper also provides and discusses some examples for such a procedure, taken from the fields: pattern classification, clustering, and measuring.
Bibtex entry
@INPROCEEDINGS { mk:his03,
ABSTRACT = { This paper proposes the fitness control procedure for the application of genetic algorithms (GA) in pattern recognition. Instead of using GA to solve a concomitant optimization problem, the task is rather represented as a set of data bitstrings, and a similarity measure among those data bitstrings. Then, the GA is used to select the subgroup yielding highest mutual similarity. The paper also provides and discusses some examples for such a procedure, taken from the fields: pattern classification, clustering, and measuring. },
AUTHOR = { Mario Köppen and Evgenia Dimitriadou },
BOOKTITLE = { Design and Application of Hybrid Intelligent Systems },
CHAPTER = { Signal and Image Processing },
MODIFIED = { 2008-02-28 14:39:22 +0900 },
EDITOR = { Ajith Abraham and Mario Köppen and Katrin Franke },
HASABSTRACT = { Yes },
PAGES = { 868-877 },
PDF = { his03.pdf },
PUBLISHER = { IOS Press Amsterdam, Berlin, Oxford, Tokyo, Washington D.C. },
SERIES = { Frontiers in Artificial Intelligence and Applications Vol. 104 },
TITLE = { Concurrent Application of Genetic Algorithm in Pattern Recognition },
YEAR = { 2003 },
}