12. EuroGP 2009: Tübingen, Germany

Oral Presentations

• Robert Curry, Malcolm I. Heywood:
  One-Class Genetic Programming. 1-12
  
• Dilip P. Ahalpara, Siddharth Arora, M. S. Santhanam:
  Genetic Programming Based Approach for Synchronization with Parameter Mismatches in EEG. 13-24
  
• Riccardo Poli, Nicholas Freitag McPhee, Luca Citi, Ellery Fussell Crane:
  Memory with Memory in Tree-Based Genetic Programming. 25-36
  
• Larry Bull, Richard Preen:
  On Dynamical Genetic Programming: Random Boolean Networks in Learning Classifier Systems. 37-48
  
• Thomas Miconi:
  Why Coevolution Doesn't "Work": Superiority and Progress in Coevolution. 49-60
  
• Dan Costelloe, Conor Ryan:
  On Improving Generalisation in Genetic Programming. 61-72
  
• András Joó:
  Mining Evolving Learning Algorithms. 73-84
  
• Ting Hu, Wolfgang Banzhaf:
  The Role of Population Size in Rate of Evolution in Genetic Programming. 85-96
  
• Colin G. Johnson:
  Genetic Programming Crossover: Does It Cross over?. 97-108
  
• Shinichi Shirakawa, Tomoharu Nagao:
  Evolution of Search Algorithms Using Graph Structured Program Evolution. 109-120
  
• Kourosh Neshatian, Mengjie Zhang:
  Genetic Programming for Feature Subset Ranking in Binary Classification Problems. 121-132
  
• Simon Harding, Julian Francis Miller, Wolfgang Banzhaf:
  Self Modifying Cartesian Genetic Programming: Fibonacci, Squares, Regression and Summing. 133-144
  
• Mario Graff, Riccardo Poli:
  Automatic Creation of Taxonomies of Genetic Programming Systems. 145-158
  
• Sara Silva, Stephen Dignum:
  Extending Operator Equalisation: Fitness Based Self Adaptive Length Distribution for Bloat Free GP. 159-170
  
• Shu-Heng Chen, Chung-Ching Tai:
  Modeling Social Heterogeneity with Genetic Programming in an Artificial Double Auction Market. 171-182
  
• James E. Murphy, Michael O'Neill, Hamish Carr:
  Exploring Grammatical Evolution for Horse Gait Optimisation. 183-194
  
• Riccardo Poli, Mario Graff:
  There Is a Free Lunch for Hyper-Heuristics, Genetic Programming and Computer Scientists. 195-207
  
• Christian Veenhuis:
  Tree Based Differential Evolution. 208-219
  
• David Robert White, Simon M. Poulding:
  A Rigorous Evaluation of Crossover and Mutation in Genetic Programming. 220-231
  
• Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller, Stefan Wagner:
  On Crossover Success Rate in Genetic Programming with Offspring Selection. 232-243
  
• César Estébanez, Ricardo Aler, José María Valls, Pablo Alonso:
  An Experimental Study on Fitness Distributions of Tree Shapes in GP with One-Point Crossover. 244-255
  

Posters

• David Jackson:
  Behavioural Diversity and Filtering in GP Navigation Problems. 256-267
  
• Marc Ebner:
  A Real-Time Evolutionary Object Recognition System. 268-279
  
• Marcus Komann, Patrick Ediger, Dietmar Fey, Rolf Hoffmann:
  On the Effectiveness of Evolution Compared to Time-Consuming Full Search of Optimal 6-State Automata. 280-291
  
• Nguyen Quang Uy, Nguyen Xuan Hoai, Michael O'Neill:
  Semantic Aware Crossover for Genetic Programming: The Case for Real-Valued Function Regression. 292-302
  
• Lee K. Graham, Robert Cattral, Franz Oppacher:
  Beneficial Preadaptation in the Evolution of a 2D Agent Control System with Genetic Programming. 303-314
  
• José Luis Montaña, César Luis Alonso, Cruz E. Borges, José Luis Crespo:
  Adaptation, Performance and Vapnik-Chervonenkis Dimension of Straight Line Programs. 315-326
  
• Nur Merve Amil, Nicolas Bredeche, Christian Gagné, Sylvain Gelly, Marc Schoenauer, Olivier Teytaud:
  A Statistical Learning Perspective of Genetic Programming. 327-338
  
• Cristian Ruican, Mihai Udrescu, Lucian Prodan, Mircea Vladutiu:
  Quantum Circuit Synthesis with Adaptive Parameters Control. 339-350
  
• Karel Slaný:
  Comparison of CGP and Age-Layered CGP Performance in Image Operator Evolution. 351-361