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SYNTHESE
2008
84views more  SYNTHESE 2008»
13 years 8 months ago
How experimental algorithmics can benefit from Mayo's extensions to Neyman-Pearson theory of testing
Although theoretical results for several algorithms in many application domains were presented during the last decades, not all algorithms can be analyzed fully theoretically. Exp...
Thomas Bartz-Beielstein
GECCO
2009
Springer
130views Optimization» more  GECCO 2009»
14 years 2 months ago
The impact of jointly evolving robot morphology and control on adaptation rate
Embodied cognition emphasizes that intelligent behavior results from the coupled dynamics between an agent’s body, brain and environment. In response to this, several projects h...
Josh C. Bongard
GECCO
2005
Springer
103views Optimization» more  GECCO 2005»
14 years 1 months ago
Maximally rugged NK landscapes contain the highest peaks
NK models provide a family of tunably rugged fitness landscapes used in a wide range of evolutionary computation studies. It is well known that the average height of local optima...
Benjamin Skellett, Benjamin Cairns, Nicholas Geard...
GECCO
2003
Springer
129views Optimization» more  GECCO 2003»
14 years 1 months ago
Inherent Fault Tolerance in Evolved Sorting Networks
This poster paper summarizes our research on fault tolerance arising as a by-product of the evolutionary computation process. Past research has shown evidence of robustness emergin...
Rob Shepherd, James A. Foster
SDM
2007
SIAM
184views Data Mining» more  SDM 2007»
13 years 9 months ago
Mining Naturally Smooth Evolution of Clusters from Dynamic Data
Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...
Yi Wang, Shi-Xia Liu, Jianhua Feng, Lizhu Zhou