Location Sheraton, Vancouver, 12-16 July 2014. Weather
Una-May O'Reilly Genetic Programming bibtex links slides etc
Franz Rothlauf Representations for Evolutionary Algorithms bibtex links slides etc
Lee Spector Expressive Genetic Programming bibtex links slides etc
| Title / Authors | Poster | cite pdf |
|---|---|---|
| Efficient Interleaved Sampling of Training Data in Genetic Programming R. Muhammad Atif Azad, David Medernach, Conor Ryan | link | |
| Predict the Success or Failure of an Evolutionary Algorithm Run Gopinath Chennupati, Conor Ryan, R. Muhammad Atif Azad | link | |
| CityBreeder: City Design with Evolutionary Computation Adam T. S. Cohen, Tony White | png pdf tiff | link |
| Comparison of Linear Genetic Programming Variants for Symbolic Regression Leo Francoso Dal Picco Sotto, Vinicius Veloso de Melo | link | |
| Universal Information Distance for Genetic Programming Marco Gaudesi, Giovanni Squillero, Alberto Tonda | link | |
| On Improving Grammatical Evolution Performance in Symbolic Regression with Attribute Grammar Muhammad Rezaul Karim, Conor Ryan | link | |
| Evolving Differential Equations with Developmental Linear Genetic Programming and Epigenetic Hill Climbing William La Cava, Lee Spector, Kourosh Danai, Matthew Lackner | link | |
| A Comparison between Geometric Semantic GP and Cartesian GP for Boolean Functions Learning Andrea Mambrini, Luca Manzoni | link | |
| Incorporating Expert Knowledge in Object-Oriented Genetic Programming Michael Richard Medland, Kyle Robert Harrison, Beatrice Ombuki-Berman | link | |
| Effective Simplification of Evolved Push Programs Using a Simple, Stochastic Hill-Climber Lee Spector, Thomas Helmuth | link | |
| Towards a Quantum-Inspired Multi-Gene Linear Genetic Programming Model Guilherme Cesario Strachan, Adriano Soares Koshiyama, Douglas Mota Dias, Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurelio Cavalcanti Pacheco | link | |
| GPGPU-Assisted Denoising Filter Generation for Video Coding Seishi Takamura, Atsushi Shimizu | pdf txt | link |
| Time | Room | Title | Authors / Chairs | Slides cite pdf |
|---|---|---|---|---|
| 10:40 - 12:20 | Junior Ballroom B 3rdfloor North Tower | Platforms and programming | W. B. Langdon and Malcolm Heywood | |
| 10:40 - 11:05 | GPU Parallel SubTree Interpreter for Genetic Programming | Alberto Cano and Sebastian Ventura | slides link | |
| 11:05 - 11:30 | Improving 3D Medical Image Registration CUDA Software with Genetic Programming | William B. Langdon and Marc Modat and Justyna Petke and Mark Harman | slides link | |
| 11:30 - 11:55 | Grammar-Based Genetic Programming with Dependence Learning and Bayesian Network Classifier | Pak-Kan Wong and Leung-Yau Lo and Man-Leung Wong and Kwong-Sak Leung | link | |
| 11:55 - 12:20 | Reductions and Abstraction Elimination in Typed Genetic Programming | Toma Kren and Roman Neruda | link | |
| 14:00 - 15:40 | Junior Ballroom B 3rdfloor North Tower | Time for something different | Lee Spector | |
| 14:00 - 14:25 | Kaizen Programming | Vinicius de Melo | slides link | |
| 14:25 - 14:50 | Multiple Regression Genetic Programming | Ignacio Arnaldo and Krzysztof Krawiec and Una-May O'Reilly | link | |
| 14:50 - 15:15 | Asynchronously Evolving Solutions with Excessively Different Evaluation Time by Reference-based Evaluation | Tomohiro Harada and Keiki Takadama | slides link | |
| 15:15 - 15:40 | Elevator Pitches | |||
| Genetic Programming and Evolvable Machines | Lee Spector | |||
| The Genetic Programming Bibliography
|
W. B. Langdon | |||
| EuroGP'2015 | Malcolm Heywood | |||
| Anyscale Learning For All | Una-May O'Reilly | |||
| Extending libGE with Attribute Grammars | Atif Azad | |||
| 16:10 - 17:50 | Junior Ballroom D 3rdfloor North Tower | Theory and proposals, Best Papers | Wolfgang Banzhaf | |
| 16:10 - 16:35 | On Size, Complexity and Generalisation Error in GP | Jeannie Fitzgerald and Conor Ryan | link | |
| 16:35 - 17:00 | Word Count as a Traditional Programming Benchmark Problem for Genetic Programming | Thomas Helmuth and Lee Spector | slides link | |
| 17:00 - 17:50 | Best paper Nominees | |||
| 17:00 - 17:25 | Evolving Less-Myopic Scheduling Rules for Dynamic Job Shop Scheduling with Genetic Programming | Rachel Hunt and Mark Johnston and Mengjie Zhang | link | |
| 17:25 - 17:50 | BEST PAPER Behavioral Programming: A Broader and More Detailed Take on Semantic GP pic | Krzysztof Krawiec and Una-May O'Reilly | slides link | |
| 17:50 - 17:50 | ||||
Conference Reception 18:00
| Time | Room | GP Track Keynote | W. B. Langdon and Malcolm Heywood |
|---|---|---|---|
| 9:00 - 10:00 | Junior Ballroom C 3rdfloor North Tower | Applications of Program Synthesis to End-User Programming and Intelligent Tutoring Systems (slides link) | Sumit Gulwani |
| Time | Room | Title | Authors / Chairs |
|---|---|---|---|
| 10:40 - 12:20 | Junior Ballroom C 3rdfloor North Tower | Genetic Programming / Evolutionary Combinatorial Optimization and Metaheuristics |
Erik Goodman |
| 10:40 - 11:05 | Exploiting Interestingness in a Computational Evolution System for the Genome-Wide Genetic Analysis of Alzheimer's Disease,
GPTP
2014
|
Jason H. Moore, Douglas P. Hill, Andrew Saykin, Li Shen | |
| 11:05 - 11:30 | Automatic Synthesis of Regular Expressions from Examples
DOI
|
Alberto Bartoli, Giorgio Davanzo, Andrea De Lorenzo, Eric Medvet, Enrico Sorio | |
| 11:30 - 11:55 | A Lifelong Learning Hyper-Heuristic Method for Bin Packing
DOI
|
Emma Hart, Kevin Sim | |
| 11:55 - 12:20 | Improving Source Code with Genetic Programming
DOI
|
William B. Langdon and Mark Harman |
Announcement of Best GP track paper
Remember many GP papers appear in Humies and other competitions other tracks and in GECCO workshops.
