50 search results - page 3 / 10 » Genetic programming: optimal population sizes for varying co... |
GECCO
2007
Springer
13 years 12 months ago
2007
Springer
Crucial to the more widespread use of evolutionary computation techniques is the ability to scale up to handle complex problems. In the field of genetic programming, a number of d...
GECCO
2000
Springer
13 years 9 months ago
2000
Springer
This paper investigates fitness sharing in genetic programming. Implicit fitness sharing is applied to populations of programs. Three treatments are compared: raw fitness, pure fi...
TEC
2008
13 years 5 months ago
2008
Abstract--The complexity of the selection procedure of a genetic algorithm that requires reordering, if we restrict the class of the possible fitness functions to varying fitness f...
GECCO
2006
Springer
13 years 9 months ago
2006
Springer
Cooperative coevolution has proven to be a promising technique for solving complex combinatorial optimization problems. In this paper, we present four different strategies which i...
CEC
2005
IEEE
13 years 11 months ago
2005
IEEE
The most controversial part of genetic programming is its highly disruptive and potentially innovative subtree crossover operator. The clearest problem with the crossover operator...