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GECCO
2009
Springer
16 years 1 months ago
Dynamic evolutionary optimisation: an analysis of frequency and magnitude of change
In this paper, we rigorously analyse how the magnitude and frequency of change may affect the performance of the algorithm (1+1) EAdyn on a set of artificially designed pseudo-Bo...
Philipp Rohlfshagen, Per Kristian Lehre, Xin Yao
GECCO
2010
Springer
170views Optimization» more  GECCO 2010»
15 years 11 months ago
Improving reliability of embedded systems through dynamic memory manager optimization using grammatical evolution
Technology scaling has offered advantages to embedded systems, such as increased performance, more available memory and reduced energy consumption. However, scaling also brings a...
José Manuel Colmenar, José L. Risco-...
195
Voted
CVIU
2008
126views more  CVIU 2008»
15 years 6 months ago
Optimising dynamic graphical models for video content analysis
A key problem in video content analysis using dynamic graphical models is to learn a suitable model structure given some observed visual data. We propose a Completed Likelihood AI...
Tao Xiang, Shaogang Gong
EC
2008
120views ECommerce» more  EC 2008»
15 years 6 months ago
Genetic Algorithms with Memory- and Elitism-Based Immigrants in Dynamic Environments
In recent years the genetic algorithm community has shown a growing interest in studying dynamic optimization problems. Several approaches have been devised. The random immigrants...
Shengxiang Yang
FUIN
2008
83views more  FUIN 2008»
15 years 6 months ago
Fault Diagnosis with Static and Dynamic Observers
We study sensor minimization problems in the context of fault diagnosis. Fault diagnosis consists in synthesizing a diagnoser that observes a given plant and identifies faults in t...
Franck Cassez, Stavros Tripakis