1149 search results - page 2 / 230 » Comparing parameter tuning methods for evolutionary algorith... |
CEC
2005
IEEE
13 years 11 months ago
2005
IEEE
Abstract- Choosing the best parameter setting is a wellknown important and challenging task in Evolutionary Algorithms (EAs). As one of the earliest parameter tuning techniques, th...
CEC
2010
IEEE
13 years 3 months ago
2010
IEEE
Abstract-- We present a case study demonstrating that using the REVAC parameter tuning method we can greatly improve the `world champion' EA (the winner of the CEC2005 competi...
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
This paper presents an study about a new Hybrid method GRASPES - for time series prediction, inspired in F. Takens theorem and based on a multi-start metaheuristic for combinatori...
ICMCS
2007
IEEE
13 years 11 months ago
2007
IEEE
A common trait of background subtraction algorithms is that they have learning rates, thresholds, and initial values that are hand-tuned for a scenario in order to produce the des...
SYNASC
2005
IEEE
13 years 10 months ago
2005
IEEE
Particle Swarm Optimization (PSO) technique proved its ability to deal with very complicated optimization and search problems. This paper proposes a new particle swarm variant whi...