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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...
GECCO
2009
Springer
164views Optimization» more  GECCO 2009»
13 years 5 months ago
Solving iterated functions using genetic programming
An iterated function f(x) is a function that when composed with itself, produces a given expression f(f(x))=g(x). Iterated functions are essential constructs in fractal theory and...
Michael D. Schmidt, Hod Lipson
ISDA
2009
IEEE
14 years 2 months ago
A Genetic Programming-Based Algorithm for Composing Web Services
—Web Services are interfaces that describe a collection of operations that are network-accessible through standardized web protocols. When a required operation is not found, seve...
Manuel Mucientes, Manuel Lama, Miguel I. Couto
GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
13 years 8 months ago
MLS security policy evolution with genetic programming
In the early days a policy was a set of simple rules with a clear intuitive motivation that could be formalised to good effect. However the world is becoming much more complex. S...
Yow Tzu Lim, Pau-Chen Cheng, Pankaj Rohatgi, John ...
GECCO
2003
Springer
128views Optimization» more  GECCO 2003»
14 years 28 days ago
Learning Biped Locomotion from First Principles on a Simulated Humanoid Robot Using Linear Genetic Programming
We describe the first instance of an approach for control programming of humanoid robots, based on evolution as the main adaptation mechanism. In an attempt to overcome some of th...
Krister Wolff, Peter Nordin