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81
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GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
15 years 3 months ago
Combining competent crossover and mutation operators: a probabilistic model building approach
This paper presents an approach to combine competent crossover and mutation operators via probabilistic model building. Both operators are based on the probabilistic model buildin...
Cláudio F. Lima, Kumara Sastry, David E. Go...
79
Voted
GECCO
2010
Springer
158views Optimization» more  GECCO 2010»
15 years 25 days ago
Efficiently evolving programs through the search for novelty
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...
Joel Lehman, Kenneth O. Stanley
70
Voted
ATAL
2008
Springer
14 years 11 months ago
Adaptive Kanerva-based function approximation for multi-agent systems
In this paper, we show how adaptive prototype optimization can be used to improve the performance of function approximation based on Kanerva Coding when solving largescale instanc...
Cheng Wu, Waleed Meleis
INFORMS
1998
100views more  INFORMS 1998»
14 years 9 months ago
Feature Selection via Mathematical Programming
The problem of discriminating between two nite point sets in n-dimensional feature space by a separating plane that utilizes as few of the features as possible, is formulated as a...
Paul S. Bradley, Olvi L. Mangasarian, W. Nick Stre...
TCIAIG
2010
14 years 4 months ago
Game Bot Detection via Avatar Trajectory Analysis
The objective of this work is to automatically detect the use of game bots in online games based on the trajectories of account users. Online gaming has become one of the most popu...
Hsing-Kuo Pao, Kuan-Ta Chen, Hong-Chung Chang