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» An analysis of massively distributed evolutionary algorithms
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BIOSYSTEMS
2007
72views more  BIOSYSTEMS 2007»
13 years 5 months ago
On the use of multi-objective evolutionary algorithms for survival analysis
This paper proposes and evaluates a multi-objective evolutionary algorithm for survival analysis. One aim of survival analysis is the extraction of models from data that approxima...
Christian Setzkorn, Azzam Fouad George Taktak, Ber...
ICALP
2003
Springer
13 years 10 months ago
Analysis of a Simple Evolutionary Algorithm for Minimization in Euclidean Spaces
Although evolutionary algorithms (EAs) are widely used in practical optimization, their theoretical analysis is still in its infancy. Up to now results on the (expected) runtime ar...
Jens Jägersküpper
ICPPW
2008
IEEE
13 years 11 months ago
Replay-Based Synchronization of Timestamps in Event Traces of Massively Parallel Applications
Event traces are helpful in understanding the performance behavior of message-passing applications since they allow in-depth analyses of communication and synchronization patterns...
Daniel Becker, John C. Linford, Rolf Rabenseifner,...
IPPS
2006
IEEE
13 years 11 months ago
A multiprocessor architecture for the massively parallel model GCA
The GCA (Global Cellular Automata) model consists of a collection of cells which change their states synchronously depending on the states of their neighbors like in the classical...
Wolfgang Heenes, Rolf Hoffmann, Johannes Jendrsczo...
ICS
2010
Tsinghua U.
13 years 7 months ago
Clustering performance data efficiently at massive scales
Existing supercomputers have hundreds of thousands of processor cores, and future systems may have hundreds of millions. Developers need detailed performance measurements to tune ...
Todd Gamblin, Bronis R. de Supinski, Martin Schulz...