Titlebook: Genetic Programming; 6th European Confere Conor Ryan,Terence Soule,Ernesto Costa Conference proceedings 2003 Springer-Verlag Berlin Heidelb

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Evolving Cellular Automata to Grow Microstructures these properties, which are determined by the internal architecture of the material or microstructure, has significant importance for material scientists. One of the things needed for this study is a tool that can create microstructural patterns. In this paper we explore the use of a genetic algori

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ensemble

reperfusion

Opponent

Evolutionary Design of Objects Using Scene Graphsssible shapes can be created, yet it has to be evolvable. That is, parent and offspring must be related. Small changes to the genotype should lead to small changes of the fitness of an individual. We have explored the use of scene graphs to evolve three-dimensional shapes. Two different scene graph

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Ensemble Techniques for Parallel Genetic Programming Based Classifiersdifferent subset of the overall data, then they are combined to classify new tuples by applying a simple majority voting algorithm, like bagging. Preliminary results on a large data set show that the ensemble of classifiers trained on a sample of the data obtains higher accuracy than a single classi

BET

Improving Symbolic Regression with Interval Arithmetic and Linear Scalingodifications of a symbolic regression system can result in greatly improved predictive performance and reliability of the induced expressions. To achieve this, interval arithmetic and linear scaling are used. An experimental section demonstrates the improvements on 15 symbolic regression problems.

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