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» An analysis of massively distributed evolutionary algorithms
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HPDC
2006
IEEE
14 years 1 months ago
Scheduling Mixed Workloads in Multi-grids: The Grid Execution Hierarchy
Consider a workload in which massively parallel tasks that require large resource pools are interleaved with short tasks that require fast response but consume fewer resources. We...
Mark Silberstein, Dan Geiger, Assaf Schuster, Miro...
GECCO
2005
Springer
197views Optimization» more  GECCO 2005»
14 years 25 days ago
Performance assessment of an artificial immune system multiobjective optimizer by two improved metrics
In this study, we introduce two improved assessment metrics of multiobjective optimizers, Nondominated Ratio and Spacing Distribution, and analyze their rationality and validity. ...
Maoguo Gong, Licheng Jiao, Haifeng Du, Ronghua Sha...
BMCBI
2010
185views more  BMCBI 2010»
13 years 7 months ago
ABCtoolbox: a versatile toolkit for approximate Bayesian computations
Background: The estimation of demographic parameters from genetic data often requires the computation of likelihoods. However, the likelihood function is computationally intractab...
Daniel Wegmann, Christoph Leuenberger, Samuel Neue...
IPL
1998
80views more  IPL 1998»
13 years 7 months ago
The Economics of Large-Memory Computations
We propose, and justify, an economic theory to guide memory system design, operation, and analysis. Our theory treats memory random-access latency, and its cost per installed mega...
Clark D. Thomborson
KDD
2007
ACM
124views Data Mining» more  KDD 2007»
14 years 1 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler