300 search results - page 14 / 60 » Adapting Representation in Genetic Programming |
ICGA
1993
13 years 8 months ago
1993
A genetic programming method is investigated for optimizing both the architecture and the connection weights of multilayer feedforward neural networks. The genotype of each networ...
ICRA
1998
IEEE
13 years 11 months ago
1998
IEEE
This paper describes the innovative use of a genetic algorithm to solve the grasp synthesis problem for multifingered robot hands. The goal of our algorithm is to select a `best&#...
GECCO
2011
Springer
12 years 11 months ago
2011
Springer
—A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to Neural Networks, and more recently Dynamical ...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
In contrast with the diverse array of genetic algorithms, the Genetic Programming (GP) paradigm is usually applied in a relatively uniform manner. Heuristics have developed over t...
EVOW
1994
Springer
13 years 11 months ago
1994
Springer
The genetic programming (GP) paradigm is a new approach to inductively forming programs that describe a particular problem. The use of natural selection based on a fitness ]unction...