Title :
Applying genetic algorithms on pattern recognition: an analysis and survey
Author :
Wang, Yuan-Kai ; Fan, Kuo-Chin
Author_Institution :
Inst. of Inf. Sci., Acad. Sinica, Taipei, Taiwan
Abstract :
In this paper, a concise mode is proposed to model a fundamental pattern recognition problem. From this concise mode, three optimization subproblems of pattern recognition are discussed. The reason why genetic algorithms are appropriate for solving pattern recognition problems are explained by comparing the advantages and disadvantages of various kinds of approaches. The status of applying genetic algorithms on pattern recognition is surveyed in this paper
Keywords :
genetic algorithms; pattern recognition; genetic algorithms; optimization subproblems; pattern recognition; Algorithm design and analysis; Cognition; Computer science; Feature extraction; Genetic algorithms; Information analysis; Information science; Optimization methods; Pattern analysis; Pattern recognition;
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-8186-7282-X
DOI :
10.1109/ICPR.1996.546921
