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GECCO
2008
Springer
14 years 1 months ago
2008
Springer
The No-Free-Lunch theorem is a fundamental result in the field of black-box function optimization. Recent work has shown that coevolution can exhibit free lunches. The question a...
GECCO
2008
Springer
14 years 1 months ago
2008
Springer
A major difficulty for anomaly detection lies in discovering boundaries between normal and anomalous behavior, due to the deficiency of abnormal samples in the training phase. In...
IIS
2003
14 years 1 months ago
2003
Abstract. The problem of parallel and distributed function optimization with coevolutionary algorithms is considered. Two coevolutionary algorithms are used for this purpose and co...
GECCO
2006
Springer
14 years 4 months ago
2006
Springer
Though recent analysis of traditional cooperative coevolutionary algorithms (CCEAs) casts doubt on their suitability for static optimization tasks, our experience is that the algo...
GECCO
2005
Springer
14 years 6 months ago
2005
Springer
Assume a coevolutionary algorithm capable of storing and utilizing all phenotypes discovered during its operation, for as long as it operates on a problem; that is, assume an algo...
GECCO
2007
Springer
14 years 6 months ago
2007
Springer
This paper introduces the Objective Fitness Correlation, a new tool to analyze the evaluation accuracy of coevolutionary algorithms. Accurate evaluation is an essential ingredient...