GECCO
2009
Springer
13 years 11 months ago
2009
Springer
GECCO
2009
Springer
13 years 11 months ago
2009
Springer
GECCO
2009
Springer
13 years 11 months ago
2009
Springer
GECCO
2009
Springer
13 years 11 months ago
2009
Springer
Evolutionary functional testing is an approach to automatically generating test cases that violate a certain functional system requirement. This paper proposes an approach suitabl...
GECCO
2009
Springer
13 years 11 months ago
2009
Springer
One of the key problems in computer vision and pattern recognition is tracking. Multiple objects, occlusion, and tracking moving objects using a moving camera are some of the chal...
GECCO
2010
Springer
13 years 12 months ago
2010
Springer
Most surrogate approaches to multi-objective optimization build a surrogate model for each objective. These surrogates can be used inside a classical Evolutionary Multiobjective O...
GECCO
2010
Springer
13 years 12 months ago
2010
Springer
GECCO
2010
Springer
13 years 12 months ago
2010
Springer
We use affine arithmetic to improve both the performance and the robustness of genetic programming for symbolic regression. During evolution, we use affine arithmetic to analyze e...
GECCO
2010
Springer
13 years 12 months ago
2010
Springer
Foreign exchange (forex) market trading using evolutionary algorithms is an active and controversial area of research. We investigate the use of a linear genetic programming (LGP)...
GECCO
2010
Springer
13 years 12 months ago
2010
Springer
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...