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HIS
2008
13 years 10 months ago
Evolutionary Training Set Selection to Optimize C4.5 in Imbalanced Problems
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...
Salvador García, Francisco Herrera
CVIU
2011
13 years 2 days ago
Graph-based quadratic optimization: A fast evolutionary approach
Quadratic optimization lies at the very heart of many structural pattern recognition and computer vision problems, such as graph matching, object recognition, image segmentation, ...
Samuel Rota Bulò, Marcello Pelillo, Immanue...
GECCO
2005
Springer
116views Optimization» more  GECCO 2005»
14 years 2 months ago
An empirical study on the handling of overlapping solutions in evolutionary multiobjective optimization
We focus on the handling of overlapping solutions in evolutionary multiobjective optimization (EMO) algorithms. First we show that there exist a large number of overlapping soluti...
Hisao Ishibuchi, Kaname Narukawa, Yusuke Nojima
ISMVL
2010
IEEE
158views Hardware» more  ISMVL 2010»
14 years 14 days ago
An Evolutionary Algorithm for Optimization of Pseudo Kronecker Expressions
—Using EXOR gates in logic synthesis often results in smaller circuit realizations. While in AND/OR synthesis the problem definition is clear, in AND/EXOR synthesis several clas...
Alexander Finder, Rolf Drechsler
EMO
2009
Springer
235views Optimization» more  EMO 2009»
14 years 3 months ago
Bi-objective Optimization for the Vehicle Routing Problem with Time Windows: Using Route Similarity to Enhance Performance
Abstract. The Vehicle Routing Problem with Time Windows is a complex combinatorial optimization problem which can be seen as a fusion of two well known sub-problems: the Travelling...
Abel Garcia-Najera, John A. Bullinaria