Hybrid genetic algorithm for dual selection

In this paper, a hybrid genetic approach is proposed to solve the problem of designing a subdatabase of the original one with the highest classification performances, the lowest number of features and the highest number of patterns. The method can simultaneously treat the double problem of editing i...

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Veröffentlicht in:	Pattern analysis and applications : PAA 2008-06, Vol.11 (2), p.179-198
Hauptverfasser:	Ros, Frederic, Guillaume, Serge, Pintore, Marco, Chrétien, Jacques R.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Artificial Intelligence Computer Science Computer science control theory systems Data Structures and Algorithms Environmental Sciences Exact sciences and technology K-Theory and Homology Learning and adaptive systems Mathematics Pattern Recognition Theoretical Advances
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