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ICANNGA
2007
Springer
110views Algorithms» more  ICANNGA 2007»
15 years 10 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
PAKDD
2007
ACM
203views Data Mining» more  PAKDD 2007»
15 years 10 months ago
Grammar Guided Genetic Programming for Flexible Neural Trees Optimization
Abstract. In our previous studies, Genetic Programming (GP), Probabilistic Incremental Program Evolution (PIPE) and Ant Programming (AP) have been used to optimal design of Flexibl...
Peng Wu, Yuehui Chen
CEC
2005
IEEE
15 years 10 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...
EUROGP
2005
Springer
107views Optimization» more  EUROGP 2005»
15 years 10 months ago
Operator-Based Distance for Genetic Programming: Subtree Crossover Distance
Abstract. This paper explores distance measures based on genetic operators for genetic programming using tree structures. The consistency between genetic operators and distance mea...
Steven M. Gustafson, Leonardo Vanneschi
GECCO
2005
Springer
100views Optimization» more  GECCO 2005»
15 years 10 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