11 search results - page 1 / 3 » Memory-enhanced univariate marginal distribution algorithms ... |
CEC
2005
IEEE
13 years 10 months ago
2005
IEEE
Several approaches have been developed into evolutionary algorithms to deal with dynamic optimization problems, of which memory and random immigrants are two major schemes. This pa...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
Like Darwinian-type genetic algorithms, there also exists genetic drift in Univariate Marginal Distribution Algorithm (UMDA). Since the universal analysis of genetic drift in UMDA...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
We present a genetic model based on simulated recombination of fixed sequences of quaternary genes (assuming four distinct forms, or alleles). States and dynamics of the infinite ...
TEC
2010
12 years 11 months ago
2010
Estimation of distribution algorithms (EDAs) are widely used in stochastic optimization. Impressive experimental results have been reported in the literature. However, little work ...
GECCO
2008
Springer
13 years 5 months ago
2008
Springer
This paper investigates how the Univariate Marginal Distribution Algorithm (UMDA) behaves in non-stationary environments when engaging in sampling and selection strategies designe...