10. EuroGP 2007:
Valencia,
Spain
Marc Ebner, Michael O'Neill, Anikó Ekárt, Leonardo Vanneschi, Anna Esparcia-Alcázar (Eds.):
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 BibTeX
- Erik Hemberg, Conor Gilligan, Michael O'Neill, Anthony Brabazon:
A Grammatical Genetic Programming Approach to Modularity in Genetic Algorithms.
1-11
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- Denis Robilliard, Virginie Marion-Poty, Sébastien Mahler, Cyril Fonlupt:
An Empirical Boosting Scheme for ROC-Based Genetic Programming Classifiers.
12-22
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- Matthew Walker, Howard Edwards, Chris H. Messom:
Confidence Intervals for Computational Effort Comparisons.
23-32
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- Maarten Keijzer, James Foster:
Crossover Bias in Genetic Programming.
33-44
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- Michael Defoin-Platel, Sébastien Vérel, Manuel Clergue, Malik Chami:
Density Estimation with Genetic Programming for Inverse Problem Solving.
45-54
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- William D. Smart, Peter Andreae, Mengjie Zhang:
Empirical Analysis of GP Tree-Fragments.
55-67
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- Anargyros Sarafopoulos, Bernard Buxton:
Empirical Comparison of Evolutionary Representations of the Inverse Problem for Iterated Function Systems.
68-77
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- Ami Hauptman, Moshe Sipper:
Evolution of an Efficient Search Algorithm for the Mate-In-N Problem in Chess.
78-89
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- Simon Harding, Wolfgang Banzhaf:
Fast Genetic Programming on GPUs.
90-101
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- Kenneth Holladay, Kay Robbins, Jeffery von Ronne:
FIFTHTM: A Stack Based GP Language for Vector Processing.
102-113
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- Colin G. Johnson:
Genetic Programming with Fitness Based on Model Checking.
114-124
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- Alberto Moraglio, Cecilia Di Chio, Riccardo Poli:
Geometric Particle Swarm Optimisation.
125-136
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- Peter Lichodzijewski, Malcolm I. Heywood:
GP Classifier Problem Decomposition Using First-Price and Second-Price Auctions.
137-147
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- David Jackson, Adrian P. Gibbons:
Layered Learning in Boolean GP Problems.
148-159
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- Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano:
Mining Distributed Evolving Data Streams Using Fractal GP Ensembles.
160-169
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- Cyril De Fillon, Alberto Bartoli:
Multi-objective Genetic Programming for Improving the Performance of TCP.
170-180
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- Richard M. Downing:
On Population Size and Neutrality: Facilitating the Evolution of Evolvability.
181-192
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- Riccardo Poli, William B. Langdon, Stephen Dignum:
On the Limiting Distribution of Program Sizes in Tree-Based Genetic Programming.
193-204
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- James Alfred Walker, Julian Francis Miller:
Predicting Prime Numbers Using Cartesian Genetic Programming.
205-216
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- Adil Raja, R. Muhammad Atif Azad, Colin Flanagan, Conor Ryan:
Real-Time, Non-intrusive Evaluation of VoIP.
217-228
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- Michal Lemczyk, Malcolm I. Heywood:
Training Binary GP Classifiers Efficiently: A Pareto-coevolutionary Approach.
229-240
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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
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- 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
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- James Alfred Walker, Julian Francis Miller:
Changing the Genospace: Solving GA Problems with Cartesian Genetic Programming.
261-270
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- Lidia Yamamoto:
Code Regulation in Open Ended Evolution.
271-280
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- Victor Ciesielski, Xiang Li:
Data Mining of Genetic Programming Run Logs.
281-290
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- Alexandros Agapitos, Simon M. Lucas:
Evolving a Statistics Class Using Object Oriented Evolutionary Programming.
291-300
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- Alexandros Agapitos, Simon M. Lucas:
Evolving Modular Recursive Sorting Algorithms.
301-310
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- Karel Slaný, Lukás Sekanina:
Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP.
311-320
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- Domagoj Jakobovic, Leonardo Jelenkovic, Leo Budin:
Genetic Programming Heuristics for Multiple Machine Scheduling.
321-330
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- Cecilia Di Chio, Paolo Di Chio:
Group-Foraging with Particle Swarms and Genetic Programming.
331-340
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- Edgar Galván López, Katya Rodríguez-Vázquez:
Multiple Interactive Outputs in a Single Tree: An Empirical Investigation.
341-350
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- 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
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- James Decraene, George G. Mitchell, Barry McMullin, Ciaran Kelly:
The Holland Broadcast Language and the Modeling of Biochemical Networks.
361-370
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- Amashini Naidoo, Nelishia Pillay:
The Induction of Finite Transducers Using Genetic Programming.
371-380
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Copyright © Sat May 16 23:11:14 2009
by Michael Ley (ley@uni-trier.de)