1129 search results - page 191 / 226 » Genetic Programming |
GECCO
2007
Springer
15 years 6 months ago
2007
Springer
Crossover in Genetic Programming is mostly a destructive operator, generally producing children worse than the parents and occasionally producing those who are better. A recently ...
GECCO
2007
Springer
15 years 6 months ago
2007
Springer
Model- and simulation-designers are often interested not in the optimum output of their system, but in understanding how the output is sensitive to different parameters. This can...
GECCO
2007
Springer
15 years 6 months ago
2007
Springer
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
ICANNGA
2007
Springer
15 years 6 months ago
2007
Springer
This paper describes a new technique for automatically developing Artificial Neural Networks (ANNs) by means of an Evolutionary Computation (EC) tool, called Genetic Programming (G...
ISCAS
2006
IEEE
15 years 5 months ago
2006
IEEE
The efficient design of multiplierless implementa- The goal is to find the optimal sub-expressions across all N dot tions of constant matrix multipliers is challenged by the huge p...