Genetic Programming  13th European Conference, EuroGP 2010, Istanbul, Turkey, April 7-9, 2010, Proceedings /  [electronic resource] : 
edited by Anna Isabel Esparcia-Alcazar, Aniko Ekart, Sara Silva, Stephen Dignum, A. Sima Uyar. 
 - 1st ed. 2010. 
 - XII, 336 p. 149 illus.  online resource. 
 - Theoretical Computer Science and General Issues,  6021  2512-2029 ; .
 - Theoretical Computer Science and General Issues,  6021 .
<br/><br/>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. 
<br/><br/><label>ISBN: </label>9783642121487 
<br/><br/><label>Standard No.: </label>10.1007/978-3-642-12148-7  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Artificial intelligence.<br/>Computer science.<br/>Algorithms.<br/>Pattern recognition systems.<br/>Computer networks .<br/>Computer programming.<br/>Artificial Intelligence.<br/>Theory of Computation.<br/>Algorithms.<br/>Automated Pattern Recognition.<br/>Computer Communication Networks.<br/>Programming Techniques.
<br/><br/><label>LC Class. No.: </label>Q334-342 TA347.A78 
<br/><br/><label>Dewey Class. No.: </label>006.3