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GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 10 months ago
Applying both positive and negative selection to supervised learning for anomaly detection
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...
Xiaoshu Hang, Honghua Dai
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
15 years 10 months ago
A multi-objective approach for the prediction of loan defaults
Credit institutions are seldom faced with problems dealing with single objectives. Often, decisions involving optimizing two or more competing goals simultaneously need to be made...
Oluwarotimi Odeh, Praveen Koduru, Sanjoy Das, Alle...
JUCS
2007
150views more  JUCS 2007»
15 years 4 months ago
Co-evolution for Communication: An EHW Approach
: Evolvable Hardware (EHW) is a new concept that aims the application of evolutionary algorithms to hardware design. EHW can adapt itself to unknown environment based on features o...
Yasser Baleghi Damavandi, Karim Mohammadi
GECCO
2004
Springer
284views Optimization» more  GECCO 2004»
15 years 9 months ago
Lagrange Multiplier Method for Multi-campaign Assignment Problem
It is crucial to maximize marketing efficiency and customer satisfaction in personalized marketing. In this paper, we raise the multiple recommendation problem which occurs when pe...
Yong-Hyuk Kim, Byung Ro Moon
SBRN
2000
IEEE
15 years 8 months ago
Evolutionary Optimization of RBF Networks
One of the main obstacles to the widespread use of artijcial neural networks is the difJiculty of adequately define valuesfor their free parameters. This article discusses how Rad...
Estefane G. M. de Lacerda, Teresa Bernarda Ludermi...