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FOGA
1990
13 years 8 months ago
A Hierarchical Approach to Learning the Boolean Multiplexer Function
This paper describes the recently developed genetic programming paradigm which genetically breeds populations of computer programs to solve problems. In genetic programming, the i...
John R. Koza
GECCO
2007
Springer
140views Optimization» more  GECCO 2007»
14 years 1 months ago
Program evolvability under environmental variations and neutrality
Biological organisms employ various mechanisms to cope with the dynamic environments they live in. One recent research reported that depending on the rates of environmental variati...
Tina Yu
EUROGP
2005
Springer
123views Optimization» more  EUROGP 2005»
14 years 1 months ago
An Algorithmic Chemistry for Genetic Programming
Abstract. Genetic Programming has been slow at realizing other programming paradigms than conventional, deterministic, sequential vonNeumann type algorithms. In this contribution w...
Christian Lasarczyk, Wolfgang Banzhaf
LPNMR
2009
Springer
14 years 5 days ago
HAPLO-ASP: Haplotype Inference Using Answer Set Programming
Identifying maternal and paternal inheritance is essential to be able to find the set of genes responsible for a particular disease. However, due to technological limitations, we ...
Esra Erdem, Ozan Erdem, Ferhan Türe
EUROGP
2009
Springer
138views Optimization» more  EUROGP 2009»
14 years 2 months ago
Self Modifying Cartesian Genetic Programming: Fibonacci, Squares, Regression and Summing
Self Modifying CGP (SMCGP) is a developmental form of Cartesian Genetic Programming(CGP). It is able to modify its own phenotype during execution of the evolved program. This is do...
Simon Harding, Julian Francis Miller, Wolfgang Ban...