118 search results - page 8 / 24 » Fitness Clouds and Problem Hardness in Genetic Programming |
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...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
Symbolic regression is a popular genetic programming (GP) application. Typically, the fitness function for this task is based on a sum-of-errors, involving the values of the depe...
EVOW
2007
Springer
13 years 11 months ago
2007
Springer
This paper presents a linear genetic programming approach, that solves simultaneously the region selection and feature extraction tasks, that are applicable to common image recogni...
EUROGP
1999
Springer
13 years 12 months ago
1999
Springer
In this paper we describe how the Stepwise Adaptation of Weights (saw) technique can be applied in genetic programming. The saw-ing mechanism has been originally developed for and ...
GECCO
2010
Springer
13 years 11 months ago
2010
Springer
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...