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ATAL
2009
Springer
15 years 11 months ago
Stigmergic landmark foraging
In this paper, we describe a nature-inspired optimization algorithm based on bee foraging behavior. This algorithm combines the high performance of bee path-integration navigation...
Nyree Lemmens, Karl Tuyls
DAGM
2009
Springer
15 years 11 months ago
A Stereo Depth Recovery Method Using Layered Representation of the Scene
Recent progresses in stereo research imply that performance of the disparity estimation depends on the discontinuity localization in the disparity space which is generally predicat...
Tarkan Aydin, Yusuf Sinan Akgul
GECCO
2009
Springer
138views Optimization» more  GECCO 2009»
15 years 11 months ago
Analysis of micro-behavior and bounded rationality in double auction markets using co-evolutionary GP
We investigate the dynamics of trader behaviors using a co-evolutionary genetic programming system to simulate a double-auction market. The objective of this study is twofold. Fir...
Shu-Heng Chen, Ren-Jie Zeng, Tina Yu
GECCO
2009
Springer
161views Optimization» more  GECCO 2009»
15 years 11 months ago
Are evolutionary rule learning algorithms appropriate for malware detection?
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classi...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...
GECCO
2009
Springer
122views Optimization» more  GECCO 2009»
15 years 11 months ago
Evolving symmetric and modular neural networks for distributed control
Problems such as the design of distributed controllers are characterized by modularity and symmetry. However, the symmetries useful for solving them are often difficult to determ...
Vinod K. Valsalam, Risto Miikkulainen
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