Genetic Programming 13th European Conference, EuroGP 2010, Istanbul, Turkey, April 7-9, 2010. Proceedings /

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Esparcia-Alcázar, Anna Isabel (Επιμελητής έκδοσης), Ekárt, Anikó (Επιμελητής έκδοσης), Silva, Sara (Επιμελητής έκδοσης), Dignum, Stephen (Επιμελητής έκδοσης), Uyar, A. Şima (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
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.