10899 search results - page 34 / 2180 » The GP Programming System |
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
The success of a genetic programming system in solving a problem is often a function of the available computational resources. For many problems, the larger the population size an...
GECCO
2011
Springer
12 years 11 months ago
2011
Springer
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
ISCAS
2007
IEEE
14 years 1 months ago
2007
IEEE
—This paper investigates the suitability of 90nm and 65nm GP and LP CMOS technology for SOC applications in the 60GHz to 100GHz range. Examples of system architectures and transc...
IPPS
1998
IEEE
13 years 11 months ago
1998
IEEE
Predicting the running time of a parallel program is useful for determining the optimal values for the parameters of the implementation and the optimal mapping of data on processo...
EUROGP
2009
Springer
14 years 2 months ago
2009
Springer
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in GP from the perspec...