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134
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GECCO
2006
Springer
158views Optimization» more  GECCO 2006»
15 years 7 months ago
Properties of symmetric fitness functions
The properties of symmetric fitness functions are investigated. We show that a well-known encoding scheme inducing symmetric functions has the non-synonymous property and the sear...
Sung-Soon Choi, Yung-Keun Kwon, Byung Ro Moon
108
Voted
GECCO
2006
Springer
164views Optimization» more  GECCO 2006»
15 years 7 months ago
A new generation alternation model for differential evolution
We present a modified version of Differential Evolution (DE) for locating the global minimum at a higher convergence velocity. The proposed model differs from conventional DE by a...
Nasimul Noman, Hitoshi Iba
141
Voted
GECCO
2006
Springer
205views Optimization» more  GECCO 2006»
15 years 7 months ago
Bounding XCS's parameters for unbalanced datasets
This paper analyzes the behavior of the XCS classifier system on imbalanced datasets. We show that XCS with standard parameter settings is quite robust to considerable class imbal...
Albert Orriols-Puig, Ester Bernadó-Mansilla
180
Voted
AIPR
2001
IEEE
15 years 7 months ago
Model-Based Face Tracking for Dense Motion Field Estimation
When estimating the dense motion field of a video sequence, if little is known or assumed about the content, a limited constraint approach such as optical flow must be used. Since...
Timothy F. Gee, Russell M. Mersereau
139
Voted
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
15 years 7 months ago
The baldwin effect in developing neural networks
The Baldwin Effect is a very plausible, but unproven, biological theory concerning the power of learning to accelerate evolution. Simple computational models in the 1980’s gave...
Keith L. Downing
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