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CEC
2010
IEEE
13 years 5 months ago
A mixed strategy for Evolutionary Programming based on local fitness landscape
The performance of Evolutionary Programming (EP) is affected by many factors (e.g. mutation operators and selection strategies). Although the conventional approach with Gaussian mu...
Liang Shen, Jun He
ML
2000
ACM
244views Machine Learning» more  ML 2000»
13 years 4 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski
PPSN
2010
Springer
13 years 3 months ago
Mirrored Sampling and Sequential Selection for Evolution Strategies
This paper reveals the surprising result that a single-parent non-elitist evolution strategy (ES) can be locally faster than the (1+1)-ES. The result is brought about by mirrored s...
Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Dirk ...
BMCBI
2010
125views more  BMCBI 2010»
13 years 4 months ago
Haplotype allelic classes for detecting ongoing positive selection
Background: Natural selection eliminates detrimental and favors advantageous phenotypes. This process leaves characteristic signatures in underlying genomic segments that can be r...
Julie Hussin, Philippe Nadeau, Jean-Françoi...
IEEEAMS
2002
IEEE
13 years 9 months ago
Understanding Consistency Maintenance in Service Discovery Architectures in Response to Message Loss
Current trends suggest future software systems will comprise collections of components that combine and recombine dynamically in reaction to changing conditions. Service-discovery...
Christopher Dabrowski, Kevin L. Mills, Jesse Elder