Genetic Programming: 11th European Conference, EuroGP 2008, Naples, Italy, March 26-28, 2008, Proceedings: Lecture Notes in Computer Science, cartea 4971
Editat de Michael O'Neill, Leonardo Vanneschi, Steven Gustafson, Anna Isabel Esparcia Alcázar, Ivanoe De Falco, Antonio Della Cioppa, Ernesto Tarantinoen Limba Engleză Paperback – 14 mar 2008
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Specificații
ISBN-13: 9783540786702
ISBN-10: 3540786708
Pagini: 394
Ilustrații: XI, 375 p.
Dimensiuni: 155 x 235 x 28 mm
Greutate: 0.59 kg
Ediția:2008
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540786708
Pagini: 394
Ilustrații: XI, 375 p.
Dimensiuni: 155 x 235 x 28 mm
Greutate: 0.59 kg
Ediția:2008
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Oral Presentations.- Training Time and Team Composition Robustness in Evolved Multi-agent Systems.- Winning Ant Wars: Evolving a Human-Competitive Game Strategy Using Fitnessless Selection.- In Silicon No One Can Hear You Scream: Evolving Fighting Creatures.- Real-Time, Non-intrusive Speech Quality Estimation: A Signal-Based Model.- Good News: Using News Feeds with Genetic Programming to Predict Stock Prices.- A Genetic Programming Approach to Deriving the Spectral Sensitivity of an Optical System.- A SIMD Interpreter for Genetic Programming on GPU Graphics Cards.- Partitioned Incremental Evolution of Hardware Using Genetic Programming.- Population Parallel GP on the G80 GPU.- Operator Equalisation and Bloat Free GP.- Practical Model of Genetic Programming’s Performance on Rational Symbolic Regression Problems.- Semantic Building Blocks in Genetic Programming.- A Simple Powerful Constraint for Genetic Programming.- Crossover, Sampling, Bloat and the Harmful Effects of Size Limits.- The Performance of a Selection Architecture for Genetic Programming.- A Comparison of Cartesian Genetic Programming and Linear Genetic Programming.- Evolvability Via Modularity-Induced Mutational Focussing.- A Linear Estimation-of-Distribution GP System.- Feature Discovery in Reinforcement Learning Using Genetic Programming.- Hardware Accelerators for Cartesian Genetic Programming.- Genetic Programming and Class-Wise Orthogonal Transformation for Dimension Reduction in Classification Problems.- Posters.- Evolving Proactive Aggregation Protocols.- GP Classification under Imbalanced Data sets: Active Sub-sampling and AUC Approximation.- Exposing a Bias Toward Short-Length Numbers in Grammatical Evolution.- Cooperative Problem Decomposition in Pareto Competitive Classifier Models ofCoevolution.- Integrating Categorical Variables with Multiobjective Genetic Programming for Classifier Construction.- The Effects of Constant Neutrality on Performance and Problem Hardness in GP.- Applying Cost-Sensitive Multiobjective Genetic Programming to Feature Extraction for Spam E-mail Filtering.- PlasmidPL: A Plasmid-Inspired Language for Genetic Programming.- Using Genetic Programming for Turing Machine Induction.- Altering Search Rates of the Meta and Solution Grammars in the mGGA.