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GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
15 years 7 months ago
Potential fitness for genetic programming
We introduce potential fitness, a variant of fitness function that operates in the space of schemata and is applicable to tree-based genetic programing. The proposed evaluation ...
Krzysztof Krawiec, PrzemysBaw Polewski
GECCO
2008
Springer
130views Optimization» more  GECCO 2008»
15 years 7 months ago
Parsimony pressure made easy
The parsimony pressure method is perhaps the simplest and most frequently used method to control bloat in genetic programming. In this paper we first reconsider the size evolutio...
Riccardo Poli, Nicholas Freitag McPhee
GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
15 years 7 months ago
An evolutionary approach for competency-based curriculum sequencing
The process of creating e-learning contents using reusable learning objects (LOs) can be broken down in two sub-processes: LOs finding and LO sequencing. Sequencing is usually per...
Luis de Marcos, José-Javier Martínez...
GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
15 years 7 months ago
Towards memoryless model building
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
David Iclanzan, Dumitru Dumitrescu
GG
2008
Springer
15 years 7 months ago
Semantical Correctness and Completeness of Model Transformations Using Graph and Rule Transformation
An important requirement of model transformations is the preservation of the behavior of the original model. A model transformation is semantically correct if for each simulation r...
Hartmut Ehrig, Claudia Ermel