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GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
15 years 10 months ago
Action-selection and crossover strategies for self-modeling machines
In previous work [7] a computational framework was demonstrated that employs evolutionary algorithms to automatically model a given system. This is accomplished by alternating the...
Josh C. Bongard
IJON
2006
161views more  IJON 2006»
15 years 4 months ago
Evolving hybrid ensembles of learning machines for better generalisation
Ensembles of learning machines have been formally and empirically shown to outperform (generalise better than) single predictors in many cases. Evidence suggests that ensembles ge...
Arjun Chandra, Xin Yao
IJON
2006
76views more  IJON 2006»
15 years 4 months ago
Evolving networks of integrate-and-fire neurons
This paper addresses the following question: ``What neural circuits can emulate the monosynaptic correlogram generated by a direct connection between two neurons?'' The ...
Francisco J. Veredas, Francisco J. Vico, Jos&eacut...
GECCO
2008
Springer
129views Optimization» more  GECCO 2008»
15 years 5 months ago
Fitness calculation approach for the switch-case construct in evolutionary testing
A well-designed fitness function is essential to the effectiveness and efficiency of evolutionary testing. Fitness function design has been researched extensively. For fitness ...
Yan Wang, Zhiwen Bai, Miao Zhang, Wen Du, Ying Qin...
BMCBI
2005
93views more  BMCBI 2005»
15 years 4 months ago
Multiple sequence alignment accuracy and evolutionary distance estimation
Background: Sequence alignment is a common tool in bioinformatics and comparative genomics. It is generally assumed that multiple sequence alignment yields better results than pai...
Michael S. Rosenberg