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» Genetic programming and evolutionary generalization
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GECCO
2009
Springer
107views Optimization» more  GECCO 2009»
15 years 2 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
GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
15 years 2 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
112views Optimization» more  GECCO 2008»
14 years 10 months ago
Parameter-less evolutionary search
The paper presents the parameter-less implementation of an evolutionary-based search. It does not need any predefined control parameters values, which are usually used for geneti...
Gregor Papa
99
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GECCO
2005
Springer
100views Optimization» more  GECCO 2005»
15 years 3 months ago
Genetic programming as a method to develop powerful predictive models for clinical diagnosis
In the field of medicine it is of vital importance to accurately predict the presence of a disease (diagnostic prediction) or the future occurrence of a certain event (prognostic...
Ivar Siccama, Maarten Keijzer
GECCO
2009
Springer
156views Optimization» more  GECCO 2009»
15 years 4 months ago
Characterizing the genetic programming environment for fifth (GPE5) on a high performance computing cluster
Solving complex, real-world problems with genetic programming (GP) can require extensive computing resources. However, the highly parallel nature of GP facilitates using a large n...
Kenneth Holladay