Genetic Programming 13th European Conference, EuroGP 2010, Istanbul, Turkey, April 7-9, 2010. Proceedings /
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2010.
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Σειρά: | Lecture Notes in Computer Science,
6021 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.