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ORCID10. EuroGP 2007: Valencia, Spain
- Marc Ebner
, Michael O'Neill, Anikó Ekárt, Leonardo Vanneschi, Anna Esparcia-Alcázar:
Genetic Programming, 10th European Conference, EuroGP 2007, Valencia, Spain, April 11-13, 2007, Proceedings. Lecture Notes in Computer Science 4445, Springer 2007, ISBN 978-3-540-71602-0 - Erik Hemberg, Conor Gilligan, Michael O'Neill, Anthony Brabazon:
A Grammatical Genetic Programming Approach to Modularity in Genetic Algorithms. 1-11 - Denis Robilliard, Virginie Marion-Poty, Sébastien Mahler, Cyril Fonlupt:
An Empirical Boosting Scheme for ROC-Based Genetic Programming Classifiers. 12-22 - Matthew Walker, Howard Edwards, Chris H. Messom:
Confidence Intervals for Computational Effort Comparisons. 23-32 - Maarten Keijzer, James Foster:
Crossover Bias in Genetic Programming. 33-44 - Michael Defoin-Platel, Sébastien Vérel, Manuel Clergue, Malik Chami:
Density Estimation with Genetic Programming for Inverse Problem Solving. 45-54 - William D. Smart, Peter Andreae, Mengjie Zhang:
Empirical Analysis of GP Tree-Fragments. 55-67 - Anargyros Sarafopoulos, Bernard F. Buxton:
Empirical Comparison of Evolutionary Representations of the Inverse Problem for Iterated Function Systems. 68-77 - Ami Hauptman, Moshe Sipper:
Evolution of an Efficient Search Algorithm for the Mate-In-N Problem in Chess. 78-89 - Simon Harding, Wolfgang Banzhaf:
Fast Genetic Programming on GPUs. 90-101 - Kenneth L. Holladay, Kay Robbins, Jeffery von Ronne:
FIFTHTM: A Stack Based GP Language for Vector Processing. 102-113 - Colin G. Johnson:
Genetic Programming with Fitness Based on Model Checking. 114-124 - Alberto Moraglio, Cecilia Di Chio, Riccardo Poli:
Geometric Particle Swarm Optimisation. 125-136 - Peter Lichodzijewski, Malcolm I. Heywood:
GP Classifier Problem Decomposition Using First-Price and Second-Price Auctions. 137-147 - David Jackson, Adrian P. Gibbons:
Layered Learning in Boolean GP Problems. 148-159 - Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano:
Mining Distributed Evolving Data Streams Using Fractal GP Ensembles. 160-169 - Cyril De Fillon, Alberto Bartoli:
Multi-objective Genetic Programming for Improving the Performance of TCP. 170-180 - Richard Mark Downing:
On Population Size and Neutrality: Facilitating the Evolution of Evolvability. 181-192 - Riccardo Poli, William B. Langdon, Stephen Dignum:
On the Limiting Distribution of Program Sizes in Tree-Based Genetic Programming. 193-204 - James Alfred Walker, Julian Francis Miller:
Predicting Prime Numbers Using Cartesian Genetic Programming. 205-216 - Adil Raja, R. Muhammad Atif Azad, Colin Flanagan, Conor Ryan:
Real-Time, Non-intrusive Evaluation of VoIP. 217-228 - Michal Lemczyk, Malcolm I. Heywood:
Training Binary GP Classifiers Efficiently: A Pareto-coevolutionary Approach. 229-240
Posters
- Leonardo Vanneschi, Marco Tomassini, Philippe Collard, Sébastien Vérel, Yuri Pirola, Giancarlo Mauri:
A Comprehensive View of Fitness Landscapes with Neutrality and Fitness Clouds. 241-250 - Jungseok Shin, Moonyoung Kang, Robert I. McKay, Nguyen Xuan Hoai, Tuan Hao Hoang, Naoki Mori, Daryl Essam:
Analysing the Regularity of Genomes Using Compression and Expression Simplification. 251-260 - James Alfred Walker, Julian Francis Miller:
Changing the Genospace: Solving GA Problems with Cartesian Genetic Programming. 261-270 - Lidia Yamamoto:
Code Regulation in Open Ended Evolution. 271-280 - Victor Ciesielski, Xiang Li:
Data Mining of Genetic Programming Run Logs. 281-290 - Alexandros Agapitos, Simon M. Lucas:
Evolving a Statistics Class Using Object Oriented Evolutionary Programming. 291-300 - Alexandros Agapitos, Simon M. Lucas:
Evolving Modular Recursive Sorting Algorithms. 301-310 - Karel Slaný, Lukás Sekanina:
Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP. 311-320 - Domagoj Jakobovic, Leonardo Jelenkovic, Leo Budin:
Genetic Programming Heuristics for Multiple Machine Scheduling. 321-330 - Cecilia Di Chio, Paolo Di Chio:
Group-Foraging with Particle Swarms and Genetic Programming. 331-340 - Edgar Galván López, Katya Rodríguez-Vázquez:
Multiple Interactive Outputs in a Single Tree: An Empirical Investigation. 341-350 - Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino:
Parsimony Doesn't Mean Simplicity: Genetic Programming for Inductive Inference on Noisy Data. 351-360 - James Decraene, George G. Mitchell, Barry McMullin, Ciaran Kelly:
The Holland Broadcast Language and the Modeling of Biochemical Networks. 361-370 - Amashini Naidoo, Nelishia Pillay:
The Induction of Finite Transducers Using Genetic Programming. 371-380
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