CEC
2005
IEEE
14 years 5 months ago
2005
IEEE
This paper presents a practical methodology of improving the efficiency of Genetic Algorithms through tuning the factors significantly affecting GA performance. This methodology is...
CEC
2005
IEEE
14 years 5 months ago
2005
IEEE
Co-evolutionary algorithms (CEAs) have been applied to optimization and machine learning problems with often mediocre results. One of the causes for the unfulfilled expectations i...
CEC
2005
IEEE
14 years 5 months ago
2005
IEEE
Abstract- Evolutionary Algorithms (EAs) have the tendency to converge quickly into a single solution in the search space. However, many complex search problems require the identi...
CEC
2005
IEEE
14 years 5 months ago
2005
IEEE
Abstract- We introduce metrics on sensorimotor experience at various temporal scales based on informationtheory. Sensorimotor variables through which the experience of an agent fl...
CEC
2005
IEEE
14 years 5 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
2005
IEEE
14 years 5 months ago
2005
IEEE
CEC
2005
IEEE
14 years 5 months ago
2005
IEEE
Genetic algorithms (GAs) and evolution strategies (ESs) are two widely used evolutionary algorithms. The main differences between GAs and ESs lie in their representations and varia...
CEC
2005
IEEE
14 years 5 months ago
2005
IEEE
The building blocks are common structures of high-quality solutions. Genetic algorithms often assume the building-block hypothesis. It is hypothesized that the high-quality solutio...
CEC
2005
IEEE
14 years 5 months ago
2005
IEEE
Abstract- Markov Random Field (MRF) modelling techniques have been recently proposed as a novel approach to probabilistic modelling for Estimation of Distribution Algorithms (EDAs)...
CEC
2005
IEEE
14 years 5 months ago
2005
IEEE
