A Methodology for Feature Selection Using Multiobjective Genetic Algorithms for Handwritten Digit String Recognition.
Luiz E. Soares de OliveiraRobert SabourinFlávio BortolozziChing Y. SuenPublished in: Int. J. Pattern Recognit. Artif. Intell. (2003)
Keyphrases
- handwritten digits
- multi objective
- genetic algorithm
- feature selection
- evolutionary algorithm
- optimization algorithm
- multi objective optimization
- handwritten chinese
- multiobjective optimization
- character recognition
- orl face
- particle swarm optimization
- objective function
- feature space
- multiple objectives
- text categorization
- nsga ii
- multiobjective genetic algorithm
- text classification
- machine learning
- feature extraction
- feature set
- support vector
- recognition rate
- fitness function
- binary strings
- object recognition
- real time
- simulated annealing
- genetic programming
- neural network
- data sets
- genetic operators
- support vector machine
- multi class
- particle swarm optimization pso
- metaheuristic