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Genetic Programming

11th European Conference, EuroGP 2008, Naples, Italy, March 26-28, 2008, Proceedings
BuchKartoniert, Paperback
375 Seiten
Englisch
Springererschienen am14.03.2008
The 11th European Conference on Genetic Programming, EuroGP 2008, took place in Naples, Italy from 26 to 28 March in the University of Naples Congress Centre with spectacular views over the Gulf of Naples.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR53,49
E-BookPDF1 - PDF WatermarkE-Book
EUR53,49

Produkt

KlappentextThe 11th European Conference on Genetic Programming, EuroGP 2008, took place in Naples, Italy from 26 to 28 March in the University of Naples Congress Centre with spectacular views over the Gulf of Naples.
ZusammenfassungThis proceedings volume examines the current state of research in the field of genetic programming, including the latest work on representations, theory, operators and analysis, evolvable hardware, agents and numerous applications.
Details
ISBN/GTIN978-3-540-78670-2
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2008
Erscheinungsdatum14.03.2008
ReiheLecture Notes in Computer Science
Seiten375 Seiten
SpracheEnglisch
Gewicht599 g
IllustrationenXI, 375 p.
Artikel-Nr.10898300

Inhalt/Kritik

Inhaltsverzeichnis
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.mehr

Schlagworte

Autor

Michael O'Neill [BSc. (UCD), PhD (UL)] is a lecturer in the Department of Computer Science and Information Systems at the University of Limerick. He has over 70 publications on biologically inspired algorithms (BIAs). He coauthored the Springer title "Grammatical Evolution -- Evolutionary Automatic Programming in an Arbitrary Language", Genetic Programming Series, 2003, 160 pp., ISBN 1-4020-7444-1. He is one of the two original developers of the Grammatical Evolution algorithm, research that spawned an annual invited tutorial at the largest evolutionary computation conference and an international workshop, and is also on a number of relevant organising committees (e.g., GECCO 2005). Michael is a regular reviewer for the leading evolutionary computation (EC) journals, namely IEEE Trans. on Evolutionary Computation, MIT Press's Evolutionary Computation, and Springer's Genetic Programming and Evolvable Hardware journal.
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