Sciweavers

1806 search results - page 13 / 362
» Modeling GA Performance for Control Parameter Optimization
Sort
View
86
Voted
WSC
2001
14 years 10 months ago
On improving the performance of simulation-based algorithms for average reward processes with application to network pricing
We address performance issues associated with simulationbased algorithms for optimizing Markov reward processes. Specifically, we are concerned with algorithms that exploit the re...
Enrique Campos-Náñez, Stephen D. Pat...
CEC
2009
IEEE
15 years 4 months ago
Parameter control in Differential Evolution for constrained optimization
In this Chapter we present the modification of a Differential Evolution algorithm to solve constrained optimization problems. The changes include a deterministic and a self-adapti...
Efrén Mezura-Montes, A. G. Palomeque-Ortiz
GECCO
2006
Springer
137views Optimization» more  GECCO 2006»
15 years 1 months ago
A method for parameter calibration and relevance estimation in evolutionary algorithms
We present and evaluate a method for estimating the relevance and calibrating the values of parameters of an evolutionary algorithm. The method provides an information theoretic m...
Volker Nannen, A. E. Eiben
85
Voted
ICCAD
2006
IEEE
169views Hardware» more  ICCAD 2006»
15 years 6 months ago
Microarchitecture parameter selection to optimize system performance under process variation
Abstract— Design variability due to within-die and die-todie process variations has the potential to significantly reduce the maximum operating frequency and the effective yield...
Xiaoyao Liang, David Brooks
GECCO
2003
Springer
137views Optimization» more  GECCO 2003»
15 years 2 months ago
The Spatially-Dispersed Genetic Algorithm
Abstract. Spatially structured population models improve the performance of genetic algorithms by assisting the selection scheme in maintaining diversity. A significant concern wi...
Grant Dick