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HIS
2008
13 years 9 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
PPSN
1994
Springer
13 years 11 months ago
An Evolutionary Algorithm for Integer Programming
Abstract. The mutation distribution of evolutionary algorithms usually is oriented at the type of the search space. Typical examples are binomial distributions for binary strings i...
Günter Rudolph
GPEM
2010
89views more  GPEM 2010»
13 years 6 months ago
Variable population size and evolution acceleration: a case study with a parallel evolutionary algorithm
Abstract With current developments of parallel and distributed computing, evolutionary algorithms have benefited considerably from parallelization techniques. Besides improved com...
Ting Hu, Simon Harding, Wolfgang Banzhaf
GEM
2008
13 years 9 months ago
Evaluating a Parallel Evolutionary Algorithm on the Chess Endgame Problem
Classifying the endgame positions in Chess can be challenging for humans and is known to be a difficult task in machine learning. An evolutionary algorithm would seem to be the ide...
Wayne Iba, Kelsey Marshman, Benjamin Fisk
CEC
2010
IEEE
13 years 7 months ago
Parallel hybrid evolutionary algorithms on GPU
Abstract— Over the last years, interest in hybrid metaheuristics has risen considerably in the field of optimization. Combinations of methods such as evolutionary algorithms and...
Thé Van Luong, Nouredine Melab, El-Ghazali ...