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ORCID17. EuroGP 2014: Granada, Spain
- Miguel Nicolau, Krzysztof Krawiec, Malcolm I. Heywood, Mauro Castelli
, Pablo García-Sánchez, Juan Julián Merelo Guervós, Víctor Manuel Rivas Santos, Kevin Sim:
Genetic Programming - 17th European Conference, EuroGP 2014, Granada, Spain, April 23-25, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8599, Springer 2014, ISBN 978-3-662-44302-6
Oral Presentations
- Alexandros Agapitos, James McDermott, Michael O'Neill, Ahmed Kattan, Anthony Brabazon:
Higher Order Functions for Kernel Regression. 1-12 - Ignacio Arnaldo, Kalyan Veeramachaneni, Una-May O'Reilly:
Flash: A GP-GPU Ensemble Learning System for Handling Large Datasets. 13-24 - Sébastien Gaucel, Maarten Keijzer, Evelyne Lutton, Alberto Paolo Tonda:
Learning Dynamical Systems Using Standard Symbolic Regression. 25-36 - Mario Graff, Ariel Graff-Guerrero, Jaime Cerdá Jacobo:
Semantic Crossover Based on the Partial Derivative Error. 37-47 - Vijay Ingalalli, Sara Silva, Mauro Castelli, Leonardo Vanneschi:
A Multi-dimensional Genetic Programming Approach for Multi-class Classification Problems. 48-60 - Ahmed Kattan, Michael Kampouridis, Alexandros Agapitos:
Generalisation Enhancement via Input Space Transformation: A GP Approach. 61-74 - Stephen Kelly, Malcolm I. Heywood:
On Diversity, Teaming, and Hierarchical Policies: Observations from the Keepaway Soccer Task. 75-86 - William B. Langdon, Mark Harman:
Genetically Improved CUDA C++ Software. 87-99 - James McDermott:
Measuring Mutation Operators' Exploration-Exploitation Behaviour and Long-Term Biases. 100-111 - Milos Minarik, Lukás Sekanina:
Exploring the Search Space of Hardware / Software Embedded Systems by Means of GP. 112-123 - Su Nguyen, Mengjie Zhang, Mark Johnston:
Enhancing Branch-and-Bound Algorithms for Order Acceptance and Scheduling with Genetic Programming. 124-136 - Justyna Petke, Mark Harman, William B. Langdon, Westley Weimer:
Using Genetic Improvement and Code Transplants to Specialise a C++ Program to a Problem Class. 137-149 - Stefano Ruberto, Leonardo Vanneschi, Mauro Castelli, Sara Silva:
ESAGP - A Semantic GP Framework Based on Alignment in the Error Space. 150-161 - Conor Ryan, Krzysztof Krawiec, Una-May O'Reilly, Jeannie Fitzgerald, David Medernach:
Building a Stage 1 Computer Aided Detector for Breast Cancer Using Genetic Programming. 162-173 - Leonardo Trujillo, Luis Muñoz, Enrique Naredo, Yuliana Martínez:
NEAT, There's No Bloat. 174-185
Posters
- R. Muhammad Atif Azad, Conor Ryan:
The Best Things Don't Always Come in Small Packages: Constant Creation in Grammatical Evolution. 186-197 - Tomohiro Harada, Keiki Takadama:
Asynchronous Evolution by Reference-Based Evaluation: Tertiary Parent Selection and Its Archive. 198-209 - Krzysztof Krawiec, Una-May O'Reilly:
Behavioral Search Drivers for Genetic Programing. 210-221 - Andrew James Turner, Julian Francis Miller:
Cartesian Genetic Programming: Why No Bloat? 222-233 - Zdenek Vasícek, Michal Bidlo:
On Evolution of Multi-category Pattern Classifiers Suitable for Embedded Systems. 234-245
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