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GECCO
2008
Springer
183views Optimization» more  GECCO 2008»
13 years 9 months ago
UMDAs for dynamic optimization problems
This paper investigates how the Univariate Marginal Distribution Algorithm (UMDA) behaves in non-stationary environments when engaging in sampling and selection strategies designe...
Carlos M. Fernandes, Cláudio F. Lima, Agost...
ICPR
2010
IEEE
13 years 10 months ago
Fast Training of Object Detection Using Stochastic Gradient Descent
Training datasets for object detection problems are typically very large and Support Vector Machine (SVM) implementations are computationally complex. As opposed to these complex ...
Rob Wijnhoven, Peter H. N. De With
CAMAD
2006
IEEE
13 years 12 months ago
Enhancing reliable multicast transport to mitigate the impact of blockage
Mobile wireless communication is susceptible to signal blockage, which is loss of signal, typically due to physical obstruction, over a longer duration relative to fading. Measurem...
Stephen F. Bush, Orhan C. Imer, Praveen Kumar Gopa...
EMO
2003
Springer
93views Optimization» more  EMO 2003»
14 years 1 months ago
Intensity Modulated Beam Radiation Therapy Dose Optimization with Multiobjective Evolutionary Algorithms
We apply the NSGA-II algorithm and its controlled elitist version NSGA-IIc for the intensity modulated beam radiotherapy dose optimization problem. We compare the performance of th...
Michael Lahanas, Eduard Schreibmann, Natasa Milick...
HYBRID
2009
Springer
14 years 3 months ago
Optimization of Multi-agent Motion Programs with Applications to Robotic Marionettes
Abstract. In this paper, we consider the problem of generating optimized, executable control code from high-level, symbolic specifications. In particular, we construct symbolic co...
Patrick Martin, Magnus Egerstedt