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» An Algorithmic Chemistry for Genetic Programming
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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
81
Voted
ICANNGA
2007
Springer
110views Algorithms» more  ICANNGA 2007»
15 years 6 months ago
Genetic Programming for Proactive Aggregation Protocols
Abstract. We present an approach for automated generation of proactive aggregation protocols using Genetic Programming. First a short introduction into aggregation and proactive pr...
Thomas Weise, Kurt Geihs, Philipp A. Baer
GECCO
2005
Springer
100views Optimization» more  GECCO 2005»
15 years 5 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
CEC
2005
IEEE
15 years 5 months ago
Linear genetic programming using a compressed genotype representation
This paper presents a modularization strategy for linear genetic programming (GP) based on a substring compression/substitution scheme. The purpose of this substitution scheme is t...
Johan Parent, Ann Nowé, Kris Steenhaut, Ann...
ICGA
1993
145views Optimization» more  ICGA 1993»
15 years 1 months ago
Genetic Programming of Minimal Neural Nets Using Occam's Razor
A genetic programming method is investigated for optimizing both the architecture and the connection weights of multilayer feedforward neural networks. The genotype of each networ...
Byoung-Tak Zhang, Heinz Mühlenbein