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166
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ECP
1997
Springer
128views Robotics» more  ECP 1997»
15 years 8 months ago
SINERGY: A Linear Planner Based on Genetic Programming
In this paper we describe SINERGY, which is a highly parallelizable, linear planning system that is based on the genetic programming paradigm. Rather than reasoning about the world...
Ion Muslea
120
Voted
GECCO
2004
Springer
115views Optimization» more  GECCO 2004»
15 years 9 months ago
Robotic Control Using Hierarchical Genetic Programming
In this paper, we compare the performance of hierarchical GP methods (Automatically Defined Functions, Module Acquisition, Adaptive Representation through Learning) with the canon...
Marcin L. Pilat, Franz Oppacher
145
Voted
EUROGP
2005
Springer
123views Optimization» more  EUROGP 2005»
15 years 9 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
EUROGP
2009
Springer
138views Optimization» more  EUROGP 2009»
15 years 10 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...
168
Voted
GECCO
2009
Springer
164views Optimization» more  GECCO 2009»
15 years 1 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