We propose Genetic Algorithms to improve the feature subset selection by combining the valuable outcomes from multiple feature selection methods. This paper also motivates the use...
Genetic Algorithms (GAs) are very commonly used as function optimizers, basically due to their search capability. A number of different serial and parallel versions of GA exist. ...
: This paper gives performance-based results for the application of a leading recognition algorithm applied to standardized iris imagery. The implementation was evaluated in NIST...
This paper presents an optimized Hill Climbing algorithm to select a subset of features for handwritten character recognition. The search is conducted taking into account a random ...
Carlos M. Nunes, Alceu de Souza Britto Jr., Celso ...
This paper describes the implementation of an automatic target recognition ATR Probing algorithm on a recon gurable system, using the SA-C programming language and optimizing co...