11. EuroGP 2008: Naples, Italy

Michael O'Neill, Leonardo Vanneschi, Steven Gustafson, Anna Esparcia-Alcázar, Ivanoe De Falco, Antonio Della Cioppa, Ernesto Tarantino (Eds.): Genetic Programming, 11th European Conference, EuroGP 2008, Naples, Italy, March 26-28, 2008. Proceedings. Lecture Notes in Computer Science 4971 Springer 2008, ISBN 978-3-540-78670-2 BibTeX

Oral Presentations

Russell Thomason, Robert B. Heckendorn, Terence Soule:
Training Time and Team Composition Robustness in Evolved Multi-agent Systems. 1-12
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Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wieloch:
Winning Ant Wars: Evolving a Human-Competitive Game Strategy Using Fitnessless Selection. 13-24
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Thomas Miconi:
In Silicon No One Can Hear You Scream: Evolving Fighting Creatures. 25-36
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Adil Raja, Colin Flanagan:
Real-Time, Non-intrusive Speech Quality Estimation: A Signal-Based Model. 37-48
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Fiacc Larkin, Conor Ryan:
Good News: Using News Feeds with Genetic Programming to Predict Stock Prices. 49-60
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Marc Ebner:
A Genetic Programming Approach to Deriving the Spectral Sensitivity of an Optical System. 61-72
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William B. Langdon, Wolfgang Banzhaf:
A SIMD Interpreter for Genetic Programming on GPU Graphics Cards. 73-85
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David Jackson:
Partitioned Incremental Evolution of Hardware Using Genetic Programming. 86-97
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Denis Robilliard, Virginie Marion-Poty, Cyril Fonlupt:
Population Parallel GP on the G80 GPU. 98-109
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Stephen Dignum, Riccardo Poli:
Operator Equalisation and Bloat Free GP. 110-121
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Mario Graff, Riccardo Poli:
Practical Model of Genetic Programming's Performance on Rational Symbolic Regression Problems. 122-133
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Nicholas Freitag McPhee, Brian Ohs, Tyler Hutchison:
Semantic Building Blocks in Genetic Programming. 134-145
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Gearoid Murphy, Conor Ryan:
A Simple Powerful Constraint for Genetic Programming. 146-157
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Stephen Dignum, Riccardo Poli:
Crossover, Sampling, Bloat and the Harmful Effects of Size Limits. 158-169
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David Jackson:
The Performance of a Selection Architecture for Genetic Programming. 170-181
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Garnett Carl Wilson, Wolfgang Banzhaf:
A Comparison of Cartesian Genetic Programming and Linear Genetic Programming. 182-193
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Richard M. Downing:
Evolvability Via Modularity-Induced Mutational Focussing. 194-205
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Riccardo Poli, Nicholas Freitag McPhee:
A Linear Estimation-of-Distribution GP System. 206-217
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Sertan Girgin, Philippe Preux:
Feature Discovery in Reinforcement Learning Using Genetic Programming. 218-229
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Zdenek Vasícek, Lukás Sekanina:
Hardware Accelerators for Cartesian Genetic Programming. 230-241
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Kourosh Neshatian, Mengjie Zhang:
Genetic Programming and Class-Wise Orthogonal Transformation for Dimension Reduction in Classification Problems. 242-253
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Posters

Thomas Weise, Michael Zapf, Kurt Geihs:
Evolving Proactive Aggregation Protocols. 254-265
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John Doucette, Malcolm I. Heywood:
GP Classification under Imbalanced Data sets: Active Sub-sampling and AUC Approximation. 266-277
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Marco Antonio Montes de Oca:
Exposing a Bias Toward Short-Length Numbers in Grammatical Evolution. 278-288
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Andrew R. McIntyre, Malcolm I. Heywood:
Cooperative Problem Decomposition in Pareto Competitive Classifier Models of Coevolution. 289-300
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Khaled M. S. Badran, Peter Rockett:
Integrating Categorical Variables with Multiobjective Genetic Programming for Classifier Construction. 301-311
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Edgar Galván López, Stephen Dignum, Riccardo Poli:
The Effects of Constant Neutrality on Performance and Problem Hardness in GP. 312-324
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Yang Zhang, HongYu Li, Mahesan Niranjan, Peter Rockett:
Applying Cost-Sensitive Multiobjective Genetic Programming to Feature Extraction for Spam E-mail Filtering. 325-336
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Lidia Yamamoto:
PlasmidPL: A Plasmid-Inspired Language for Genetic Programming. 337-349
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Amashini Naidoo, Nelishia Pillay:
Using Genetic Programming for Turing Machine Induction. 350-361
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Erik Hemberg, Michael O'Neill, Anthony Brabazon:
Altering Search Rates of the Meta and Solution Grammars in the mGGA. 362-373
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