25 search results - page 1 / 5 » Function choice, resiliency and growth in genetic programmin... |
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
In this paper we examine how the choice of functions in a genetic program (GP) affects the rate of code growth and the development of resilient individuals. We find that functio...
EUROGP
2003
Springer
13 years 10 months ago
2003
Springer
This paper discusses the underlying pressures responsible for code growth in genetic programming, and shows how an understanding of these pressures can be used to use to eliminate...
CEC
2010
IEEE
12 years 8 months ago
2010
IEEE
— If a population of programs evolved not for a few hundred generations but for a few hundred thousand or more, could it generate more interesting behaviours and tackle more comp...
CEC
2005
IEEE
13 years 10 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...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Previous research has shown that evolutionary systems not only try to develop solutions that satisfy a fitness requirement, but indirectly attempt to develop genetically robust so...