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16. EuroGP 2013: Vienna, Austria
- Krzysztof Krawiec, Alberto Moraglio, Ting Hu, A. Sima Etaner-Uyar, Bin Hu:
Genetic Programming - 16th European Conference, EuroGP 2013, Vienna, Austria, April 3-5, 2013. Proceedings. Lecture Notes in Computer Science 7831, Springer 2013, ISBN 978-3-642-37206-3
Oral Presentations
- Alexandros Agapitos, Michael O'Neill, Anthony Brabazon:
Adaptive Distance Metrics for Nearest Neighbour Classification Based on Genetic Programming. 1-12 - Grant Dick, Peter A. Whigham:
Controlling Bloat through Parsimonious Elitist Replacement and Spatial Structure. 13-24 - John H. Drake, Nikolaos Kililis, Ender Özcan:
Generation of VNS Components with Grammatical Evolution for Vehicle Routing. 25-36 - David Fagan, Erik Hemberg, Michael O'Neill, Seán McGarraghy:
Understanding Expansion Order and Phenotypic Connectivity in πGE. 37-48 - Cyril Fonlupt, Denis Robilliard:
PhenoGP: Combining Programs to Avoid Code Disruption. 49-60 - Brian W. Goldman, William F. Punch:
Reducing Wasted Evaluations in Cartesian Genetic Programming. 61-72 - Ivo Gonçalves, Sara Silva:
Balancing Learning and Overfitting in Genetic Programming with Interleaved Sampling of Training Data. 73-84 - Libin Hong, John Robert Woodward, Jingpeng Li, Ender Özcan:
Automated Design of Probability Distributions as Mutation Operators for Evolutionary Programming Using Genetic Programming. 85-96 - Ting Hu, Wolfgang Banzhaf, Jason H. Moore:
Robustness and Evolvability of Recombination in Linear Genetic Programming. 97-108 - Sweeney Luis, Marcus Vinicius dos Santos:
On the Evolvability of a Hybrid Ant Colony-Cartesian Genetic Programming Methodology. 109-120 - José María Luna, José Raúl Romero, Cristóbal Romero, Sebastián Ventura:
Discovering Subgroups by Means of Genetic Programming. 121-132 - James McDermott, Paula Carroll:
Program Optimisation with Dependency Injection. 133-144 - Enrique Naredo, Leonardo Trujillo, Yuliana Martínez:
Searching for Novel Classifiers. 145-156 - Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan:
Learning Reusable Initial Solutions for Multi-objective Order Acceptance and Scheduling Problems with Genetic Programming. 157-168 - Fernando E. B. Otero, Colin G. Johnson:
Automated Problem Decomposition for the Boolean Domain with Genetic Programming. 169-180 - Angelica Sandoval-Perez, David Becerra, Diana Vanegas, Daniel Restrepo-Montoya, Fernando Niño:
A Multi-objective Optimization Energy Approach to Predict the Ligand Conformation in a Docking Process. 181-192 - Tom Seaton, Julian F. Miller, Tim Clarke:
Semantic Bias in Program Coevolution. 193-204 - Leonardo Vanneschi, Mauro Castelli, Luca Manzoni, Sara Silva:
A New Implementation of Geometric Semantic GP and Its Application to Problems in Pharmacokinetics. 205-216
Posters
- Alberto Cano, Amelia Zafra, Eva Lucrecia Gibaja Galindo, Sebastián Ventura:
A Grammar-Guided Genetic Programming Algorithm for Multi-Label Classification. 217-228 - Marcin Czajkowski, Marek Kretowski:
Global Top-Scoring Pair Decision Tree for Gene Expression Data Analysis. 229-240 - Tomohiro Harada, Keiki Takadama:
Asynchronous Evaluation Based Genetic Programming: Comparison of Asynchronous and Synchronous Evaluation and Its Analysis. 241-252 - Damien Hogan, Tom Arbuckle, Conor Ryan:
How Early and with How Little Data? Using Genetic Programming to Evolve Endurance Classifiers for MLC NAND Flash Memory. 253-264 - Pham Tuan Anh, Quang Uy Nguyen, Xuan Hoai Nguyen, Michael O'Neill:
Examining the Diversity Property of Semantic Similarity Based Crossover. 265-276
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