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CEEMAS
2005
Springer
14 years 1 months ago
The "Dance or Work" Problem: Why Do not all Honeybees Dance with Maximum Intensity
A honeybee colony has to choose among several nectar sources in the environment, each fluctuating in quality over time. Successful forager bees return to the hive and perform dance...
Ronald Thenius, Thomas Schmickl, Karl Crailsheim
ECAL
2005
Springer
14 years 1 months ago
The Quantitative Law of Effect is a Robust Emergent Property of an Evolutionary Algorithm for Reinforcement Learning
An evolutionary reinforcement-learning algorithm, the operation of which was not associated with an optimality condition, was instantiated in an artificial organism. The algorithm ...
J. J. McDowell, Zahra Ansari
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
14 years 1 months ago
MDGA: motif discovery using a genetic algorithm
Computationally identifying transcription factor binding sites in the promoter regions of genes is an important problem in computational biology and has been under intensive resea...
Dongsheng Che, Yinglei Song, Khaled Rasheed
ASPLOS
2004
ACM
14 years 1 months ago
Devirtualizable virtual machines enabling general, single-node, online maintenance
Maintenance is the dominant source of downtime at high availability sites. Unfortunately, the dominant mechanism for reducing this downtime, cluster rolling upgrade, has two short...
David E. Lowell, Yasushi Saito, Eileen J. Samberg
CF
2004
ACM
14 years 1 months ago
Predictable performance in SMT processors
Current instruction fetch policies in SMT processors are oriented towards optimization of overall throughput and/or fairness. However, they provide no control over how individual ...
Francisco J. Cazorla, Peter M. W. Knijnenburg, Riz...
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