Concurrent application of genetic algorithm in pattern recognition

Authors:
Mario Köppen;Evgenia Dimitriadou
Affiliations:
Fraunhofer IPK, Pascalstr. 8-9, 10587 Berlin, Germany;Institut für Statistik und Wahrscheinlichkeitstheorie, Technische Universität Wien, Wiedener Hauptstr. 8-10, A - 1040 Wien, Austria
Venue:
Design and application of hybrid intelligent systems
Year:
2003

Citing 2
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Genetic Algorithm Based Heuristic Measure for Pattern Similarity in Kirlian Photographs

Proceedings of the EvoWorkshops on Applications of Evolutionary Computing

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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.