11. EuroGP 2008: Naples, Italy

Oral Presentations

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

Posters

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