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ICPR
2006
IEEE
14 years 6 months ago
Approximation of Digital Curves using a Multi-Objective Genetic Algorithm
In this paper, a digital planar curve approximation method based on a multi-objective genetic algorithm is proposed. In this method, the optimization/exploration algorithm locates...
Hervé Locteau, Romain Raveaux, Sébas...
ICPR
2002
IEEE
14 years 6 months ago
Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Digit Recognition
This paper discusses the use of genetic algorithm for feature selection for handwriting recognition. Its novelty lies in the use of a multi-objective genetic algorithms where sens...
Luiz E. Soares de Oliveira, Robert Sabourin, Fl&aa...
ICDAR
2003
IEEE
13 years 10 months ago
Feature Selection for Ensembles: A Hierarchical Multi-Objective Genetic Algorithm Approach
Feature selection for ensembles has shown to be an effective strategy for ensemble creation. In this paper we present an ensemble feature selection approach based on a hierarchica...
Luiz E. Soares de Oliveira, Robert Sabourin, Fl&aa...
GECCO
2008
Springer
192views Optimization» more  GECCO 2008»
13 years 6 months ago
Non-linear factor model for asset selection using multi objective genetic programming
Investors vary with respect to their expected return and aversion to associated risk, and hence also vary in their performance expectations of the stock market portfolios they hol...
Ghada Hassan
ICDAR
2007
IEEE
13 years 11 months ago
Multi-Objective Optimization for SVM Model Selection
In this paper, we propose a multi-objective optimization method for SVM model selection using the well known NSGA-II algorithm. FA and FR rates are the two criteria used to find ...
Clément Chatelain, Sébastien Adam, Y...