Genetic Programming [electronic resource] : 13th European Conference, EuroGP 2010, Istanbul, Turkey, April 7-9, 2010, Proceedings /

Oral Presentations -- Genetic Programming for Classification with Unbalanced Data -- An Analysis of the Behaviour of Mutation in Grammatical Evolution -- Positional Effect of Crossover and Mutation in Grammatical Evolution -- Sub-tree Swapping Crossover and Arity Histogram Distributions -- Novelty-Based Fitness: An Evaluation under the Santa Fe Trail -- An Analysis of Genotype-Phenotype Maps in Grammatical Evolution -- Handling Different Categories of Concept Drifts in Data Streams Using Distributed GP -- An Indirect Approach to the Three-Dimensional Multi-pipe Routing Problem -- Phenotypic Diversity in Initial Genetic Programming Populations -- A Relaxed Approach to Simplification in Genetic Programming -- Unsupervised Problem Decomposition Using Genetic Programming -- GP-Fileprints: File Types Detection Using Genetic Programming -- A Many Threaded CUDA Interpreter for Genetic Programming -- Controlling Complex Dynamics with Artificial Biochemical Networks -- Geometric Differential Evolution on the Space of Genetic Programs -- Improving the Generalisation Ability of Genetic Programming with Semantic Similarity based Crossover -- Evolving Genes to Balance a Pole -- Solution-Locked Averages and Solution-Time Binning in Genetic Programming -- Enabling Object Reuse on Genetic Programming-Based Approaches to Object-Oriented Evolutionary Testing -- Analytic Solutions to Differential Equations under Graph-Based Genetic Programming -- Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data -- Posters -- Genetic Programming for Auction Based Scheduling -- Bandit-Based Genetic Programming -- Using Imaginary Ensembles to Select GP Classifiers -- Analysis of Building Blocks with Numerical Simplification in Genetic Programming -- Fast Evaluation of GP Trees on GPGPU by Optimizing Hardware Scheduling -- Ensemble Image Classification Method Based on Genetic Image Network -- Fine-Grained Timing Using Genetic Programming.