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» On the Brittleness of Evolutionary Algorithms
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IJON
2006
76views more  IJON 2006»
15 years 6 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 7 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 6 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
KDD
2012
ACM
263views Data Mining» more  KDD 2012»
13 years 9 months ago
Integrating community matching and outlier detection for mining evolutionary community outliers
Temporal datasets, in which data evolves continuously, exist in a wide variety of applications, and identifying anomalous or outlying objects from temporal datasets is an importan...
Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 10 months ago
Improving evolutionary real-time testing
Embedded systems are often used in a safety-critical context, e.g. in airborne or vehicle systems. Typically, timing constraints must be satisfied so that real-time embedded syste...
Marouane Tlili, Stefan Wappler, Harmen Sthamer