1806 search results - page 1 / 362 » Modeling GA Performance for Control Parameter Optimization |
GECCO
2000
Springer
13 years 8 months ago
2000
Springer
Optimization of the control parameters of genetic algorithms is often a time consuming and tedious task. In this work we take the meta-level genetic algorithm approach to control ...
CEC
2010
IEEE
13 years 2 months ago
2010
IEEE
In this work we examined the performance of two evolutionary algorithms, a genetic algorithm (GA) and particle swarm optimization (PSO), in the estimation of the parameters of a mo...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
A meta-GA (GA within a GA) is used to investigate evolving the parameter settings of genetic operators for genetic and evolutionary algorithms (GEA) in the hope of creating a self...
ICCSA
2009
Springer
13 years 11 months ago
2009
Springer
Crop Assimilation Model (CAM) predicts the parameters of agrohydrological models with satellite images. CAM with double layers GA called CAM-DLGA, uses Soil-Water-Atmosphere-Plant ...
GECCO
2008
Springer
13 years 5 months ago
2008
Springer
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...