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» Adapting Representation in Genetic Programming
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CEC
2010
IEEE
13 years 7 months ago
Genetic programming for Expert Systems
— Genetic programming is the usage of the paradigm of survival of the fittest in scientific computing. It is applied to evolve solutions to problems where dependencies between ...
Konrad Sickel, Joachim Hornegger
EUROGP
2007
Springer
135views Optimization» more  EUROGP 2007»
14 years 1 months ago
A Grammatical Genetic Programming Approach to Modularity in Genetic Algorithms
The ability of Genetic Programming to scale to problems of increasing difficulty operates on the premise that it is possible to capture regularities that exist in a problem environ...
Erik Hemberg, Conor Gilligan, Michael O'Neill, Ant...
EUROGP
2001
Springer
105views Optimization» more  EUROGP 2001»
13 years 12 months ago
Adaptive Genetic Programming Applied to New and Existing Simple Regression Problems
Abstract. In this paper we continue our study on adaptive genetic programming. We use Stepwise Adaptation of Weights (saw) to boost performance of a genetic programming algorithm o...
Jeroen Eggermont, Jano I. van Hemert
GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
13 years 11 months ago
A survey of mutation techniques in genetic programming
The importance of mutation varies across evolutionary computation domains including: genetic programming, evolution strategies, and genetic algorithms. In the genetic programming ...
Alan Piszcz, Terence Soule
EUROGP
2001
Springer
106views Optimization» more  EUROGP 2001»
13 years 12 months ago
Linear-Tree GP and Its Comparison with Other GP Structures
Abstract. In recent years different genetic programming (GP) structures have emerged. Today, the basic forms of representation for genetic programs are tree, linear and graph stru...
Wolfgang Kantschik, Wolfgang Banzhaf