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GECCO
2005
Springer
142views Optimization» more  GECCO 2005»
13 years 10 months ago
Goal-oriented preservation of essential genetic information by offspring selection
This contribution proposes an enhanced and generic selection model for Genetic Algorithms (GAs) and Genetic Programming (GP) which is able to preserve the alleles which are part o...
Michael Affenzeller, Stefan Wagner 0002, Stephan M...
EUROGP
2009
Springer
132views Optimization» more  EUROGP 2009»
13 years 12 months ago
A Statistical Learning Perspective of Genetic Programming
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in GP from the perspec...
Nur Merve Amil, Nicolas Bredeche, Christian Gagn&e...
ISMB
1996
13 years 6 months ago
The Mathematical Model of Subtractive Hybridization and Its Practical Application
A novel theory of subtractive hybridization including (or based on) the kinetic model of this process was proposed. A computer program modeling the process of subtraction wasdevel...
Olga D. Ermolaeva, Sergey A. Lukyanov, Eugene D. S...
GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
13 years 9 months ago
Genetic programming with primitive recursion
When Genetic Programming is used to evolve arithmetic functions it often operates by composing them from a fixed collection of elementary operators and applying them to parameters...
Stefan Kahrs
IJISTA
2007
119views more  IJISTA 2007»
13 years 5 months ago
Online modelling based on Genetic Programming
: Genetic Programming (GP), a heuristic optimisation technique based on the theory of Genetic Algorithms (GAs), is a method successfully used to identify non-linear model structure...
Stephan M. Winkler, Hajrudin Efendic, Luigi del Re...