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GECCO
2009
Springer
107views Optimization» more  GECCO 2009»
14 years 5 days 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
GECCO
2009
Springer
190views Optimization» more  GECCO 2009»
13 years 11 months ago
Genetic programming for protein related text classification
Since the genomics revolution, bioinformatics has never been so popular. Many researchers have investigated with great success the use of evolutionary computation in bioinformatic...
Marc Segond, Cyril Fonlupt, Denis Robilliard
EC
1998
121views ECommerce» more  EC 1998»
13 years 7 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
2007
Springer
186views Optimization» more  GECCO 2007»
14 years 1 months ago
Evolving controllers for simulated car racing using object oriented genetic programming
Several different controller representations are compared on a non-trivial problem in simulated car racing, with respect to learning speed and final fitness. The controller rep...
Alexandros Agapitos, Julian Togelius, Simon M. Luc...
GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
14 years 5 days 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