Applying genetic algorithms on pattern recognition: An analysis and survey

Yuan Kai Wang, Kuo Chin Fan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

21 Scopus citations

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.

Original languageEnglish
Title of host publicationTrack B
Subtitle of host publicationPattern Recognition and Signal Analysis
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages740-744
Number of pages5
ISBN (Print)081867282X, 9780818672828
DOIs
StatePublished - 1996
Event13th International Conference on Pattern Recognition, ICPR 1996 - Vienna, Austria
Duration: 25 Aug 199629 Aug 1996

Publication series

NameProceedings - International Conference on Pattern Recognition
Volume2
ISSN (Print)1051-4651

Conference

Conference13th International Conference on Pattern Recognition, ICPR 1996
Country/TerritoryAustria
CityVienna
Period25/08/9629/08/96

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