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» On the Brittleness of Evolutionary Algorithms
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SOSP
2003
ACM
16 years 3 months ago
Transforming policies into mechanisms with infokernel
We describe an evolutionary path that allows operating systems to be used in a more flexible and appropriate manner by higher-level services. An infokernel exposes key pieces of ...
Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau,...
ICTAI
2003
IEEE
15 years 11 months ago
Adaptive Modeling of Biochemical Pathways
In bioinformatics, biochemical pathways can be modeled by many differential equations. It is still an open problem how to fit the huge amount of parameters of the equations to the...
Rüdiger W. Brause
HAIS
2011
Springer
14 years 10 months ago
JCLEC Meets WEKA!
WEKA has recently become a very referenced DM tool. In spite of all the functionality it provides, it does not include any framework for the development of evolutionary algorithms....
Alberto Cano, José María Luna, Juan ...
ISDA
2008
IEEE
16 years 28 days ago
Optimal Tuning of PI Speed Controller Using Nature Inspired Heuristics
This paper presents a comparative study of three popular, Evolutionary Algorithms (EA); Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Differential Evolution (DE) ...
Millie Pant, Radha Thangaraj, Ajith Abraham
BMCBI
2006
161views more  BMCBI 2006»
15 years 6 months ago
A novel approach to phylogenetic tree construction using stochastic optimization and clustering
Background: The problem of inferring the evolutionary history and constructing the phylogenetic tree with high performance has become one of the major problems in computational bi...
Ling Qin, Yixin Chen, Yi Pan, Ling Chen