9 search results - page 1 / 2 » Improving genetic algorithms performance via deterministic p... |
GECCO
2009
Springer
13 years 11 months ago
2009
Springer
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
This paper extends previous work showing how fluctuating crosstalk in a deterministic fitness function introduces noise into genetic algorithms. In that work, we modeled fluctuati...
GECCO
2003
Springer
13 years 9 months ago
2003
Springer
Abstract. Spatially structured population models improve the performance of genetic algorithms by assisting the selection scheme in maintaining diversity. A significant concern wi...
GECCO
2009
Springer
13 years 11 months ago
2009
Springer
We propose a variation of the standard genetic algorithm that incorporates social interaction between the individuals in the population. Our goal is to understand the evolutionary...
EVOW
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. Addressing dynamic optimization problems has been a challenging task for the genetic algorithm community. Over the years, several approaches have been developed into gene...