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GECCO
2005
Springer
127views Optimization» more  GECCO 2005»
15 years 5 months ago
Investigating the performance of module acquisition in cartesian genetic programming
Embedded Cartesian Genetic Programming (ECGP) is a form of the graph based Cartesian Genetic Programming (CGP) in which modules are automatically acquired and evolved. In this pap...
James Alfred Walker, Julian Francis Miller
GECCO
2009
Springer
107views Optimization» more  GECCO 2009»
15 years 4 months ago
Evolving distributed algorithms with genetic programming: election
In this paper, we present a detailed analysis of the application of Genetic Programming to the evolution of distributed algorithms. This research field has many facets which make...
Thomas Weise, Michael Zapf
EC
1998
121views ECommerce» more  EC 1998»
14 years 11 months ago
Effects of Code Growth and Parsimony Pressure on Populations in Genetic Programming
Parsimony pressure, the explicit penalization of larger programs, has been increasingly used as a means of controlling code growth in genetic programming. However, in many cases p...
Terence Soule, James A. Foster
GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
15 years 4 months ago
Variable size population for dynamic optimization with genetic programming
A new model of Genetic Programming with variable size population is presented in this paper and applied to the reconstruction of target functions in dynamic environments (i.e. pro...
Leonardo Vanneschi, Giuseppe Cuccu
GECCO
2008
Springer
110views Optimization» more  GECCO 2008»
15 years 23 days ago
Genetic programming for finite algebras
We describe the application of genetic programming (GP) to a problem in pure mathematics, in the study of finite algebras. We document the production of human-competitive results...
Lee Spector, David M. Clark, Ian Lindsay, Bradford...