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GPEM
2002
104views more  GPEM 2002»
13 years 11 months ago
Genetic Programming-based Construction of Features for Machine Learning and Knowledge Discovery Tasks
In this paper we use genetic programming for changing the representation of the input data for machine learners. In particular, the topic of interest here is feature construction i...
Krzysztof Krawiec
GPEM
2002
134views more  GPEM 2002»
13 years 11 months ago
Genetic Programming and Autoconstructive Evolution with the Push Programming Language
Push is a programming language designed for the expression of evolving programs within an evolutionary computation system. This article describes Push and illustrates some of the o...
Lee Spector, Alan J. Robinson
GPEM
2002
145views more  GPEM 2002»
13 years 11 months ago
An Analysis of the Causes of Code Growth in Genetic Programming
Abstract. This research examines the cause of code growth (bloat) in genetic programming (GP). Currently there are three hypothesized causes of code growth in GP: protection, drift...
Terence Soule, Robert B. Heckendorn
GPEM
2002
95views more  GPEM 2002»
13 years 11 months ago
On Appropriate Adaptation Levels for the Learning of Gene Linkage
A number of algorithms have been proposed aimed at tackling the problem of learning "Gene Linkage" within the context of genetic optimisation, that is to say, the problem...
James Smith
GPEM
2002
109views more  GPEM 2002»
13 years 11 months ago
Some Considerations on the Reason for Bloat
A representation-less model for genetic programming is presented. The model is intended to examine the mechanisms that lead to bloat in genetic programming (GP). We discuss two hyp...
Wolfgang Banzhaf, William B. Langdon
GPEM
2002
163views more  GPEM 2002»
13 years 11 months ago
Fast Ant Colony Optimization on Runtime Reconfigurable Processor Arrays
Ant Colony Optimization (ACO) is a metaheuristic used to solve combinatorial optimization problems. As with other metaheuristics, like evolutionary methods, ACO algorithms often sh...
Daniel Merkle, Martin Middendorf