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GPTP
2013
2015
2018
2020
2013
2020
Keyphrases
Publications
2020
Genetic Programming Theory and Practice XVII [GPTP 2019, Michigan State University, East Lansing, Michigan, USA, May 16-19, 2019].
GPTP
(2020)
2019
Moshe Sipper
,
Jason H. Moore
,
Ryan J. Urbanowicz
New Pathways in Coevolutionary Computation.
GPTP
(2019)
David Robert White
,
Benjamin Fowler
,
Wolfgang Banzhaf
,
Earl T. Barr
Modelling Genetic Programming as a Simple Sampling Algorithm.
GPTP
(2019)
Arthur K. Kordon
,
Theresa Kotanchek
,
Mark E. Kotanchek
How Competitive Is Genetic Programming in Business Data Science Applications?
GPTP
(2019)
Andrew N. Sloss
,
Steven Gustafson
2019 Evolutionary Algorithms Review.
GPTP
(2019)
Yuan Yuan
,
Wolfgang Banzhaf
An Evolutionary System for Better Automatic Software Repair.
GPTP
(2019)
Genetic Programming Theory and Practice XVI, [GPTP 2018, University of Michigan, Ann Arbor, USA, May 17-20, 2018].
GPTP
(2019)
Stephen Kelly
,
Wolfgang Banzhaf
Temporal Memory Sharing in Visual Reinforcement Learning.
GPTP
(2019)
Ivo Gonçalves
,
Marta Seca
,
Mauro Castelli
Explorations of the Semantic Learning Machine Neuroevolution Algorithm: Dynamic Training Data Use, Ensemble Construction Methods, and Deep Learning Perspectives.
GPTP
(2019)
Austin J. Ferguson
,
Jose Guadalupe Hernandez
,
Daniel Junghans
,
Alexander Lalejini
,
Emily L. Dolson
,
Charles Ofria
Characterizing the Effects of Random Subsampling on Lexicase Selection.
GPTP
(2019)
Douglas Kirkpatrick
,
Arend Hintze
The Evolution of Representations in Genetic Programming Trees.
GPTP
(2019)
Joel Lehman
Evolutionary Computation and AI Safety - Research Problems Impeding Routine and Safe Real-World Application of Evolution.
GPTP
(2019)
Gustavo Olague
,
Mariana Chan-Ley
Hands-on Artificial Evolution Through Brain Programming.
GPTP
(2019)
Ting Hu
Can Genetic Programming Perform Explainable Machine Learning for Bioinformatics?
GPTP
(2019)
Anil Kumar Saini
,
Lee Spector
Using Modularity Metrics as Design Features to Guide Evolution in Genetic Programming.
GPTP
(2019)
Hormoz Shahrzad
,
Babak Hodjat
,
Camille Dollé
,
Andrei Denissov
,
Simon Lau
,
Donn Goodhew
,
Justin Dyer
,
Risto Miikkulainen
Enhanced Optimization with Composite Objectives and Novelty Pulsation.
GPTP
(2019)
Edward R. Pantridge
,
Thomas Helmuth
,
Lee Spector
Comparison of Linear Genome Representations for Software Synthesis.
GPTP
(2019)
Robert J. Smith
,
Malcolm I. Heywood
Evolving a Dota 2 Hero Bot with a Probabilistic Shared Memory Model.
GPTP
(2019)
Lukas Kammerer
,
Gabriel Kronberger
,
Bogdan Burlacu
,
Stephan M. Winkler
,
Michael Kommenda
,
Michael Affenzeller
Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication.
GPTP
(2019)
Miguel Nicolau
,
James McDermott
Genetic Programming Symbolic Regression: What Is the Prior on the Prediction?
GPTP
(2019)
Francisco Fernández de Vega
,
Gustavo Olague
,
Francisco Chávez de la O
,
Daniel Lanza
,
Wolfgang Banzhaf
,
Erik D. Goodman
It Is Time for New Perspectives on How to Fight Bloat in GP.
GPTP
(2019)
2018
Leonardo Trujillo
,
Luis Muñoz
,
Uriel López
,
Daniel E. Hernández
Untapped Potential of Genetic Programming: Transfer Learning and Outlier Removal.
GPTP
(2018)
Fangkai Yang
,
Steven Gustafson
,
Alexander Elkholy
,
Daoming Lyu
,
Bo Liu
Program Search for Machine Learning Pipelines Leveraging Symbolic Planning and Reinforcement Learning.
GPTP
(2018)
Alexander Lalejini
,
Charles Ofria
What Else Is in an Evolved Name? Exploring Evolvable Specificity with SignalGP.
GPTP
(2018)
Genetic Programming Theory and Practice XIV, [GPTP 2016, University of Michigan, Ann Arbor, USA, May 19-21, 2016].
GPTP
(2018)
Emily L. Dolson
,
Alexander Lalejini
,
Charles Ofria
Exploring Genetic Programming Systems with MAP-Elites.
GPTP
(2018)
Julian F. Miller
,
Dennis G. Wilson
,
Sylvain Cussat-Blanc
Evolving Developmental Programs That Build Neural Networks for Solving Multiple Problems.
GPTP
(2018)
Blossom Metevier
,
Anil Kumar Saini
,
Lee Spector
Lexicase Selection Beyond Genetic Programming.
GPTP
(2018)
Gabriel Kronberger
,
Lukas Kammerer
,
Bogdan Burlacu
,
Stephan M. Winkler
,
Michael Kommenda
,
Michael Affenzeller
Cluster Analysis of a Symbolic Regression Search Space.
GPTP
(2018)
Genetic Programming Theory and Practice XV, [GPTP 2017, University of Michigan, Ann Arbor, USA, May 18-20, 2017].
GPTP
(2018)
Michael F. Korns
,
Tim May
Strong Typing, Swarm Enhancement, and Deep Learning Feature Selection in the Pursuit of Symbolic Regression-Classification.
GPTP
(2018)
Michael O'Neill
,
David Fagan
The Elephant in the Room: Towards the Application of Genetic Programming to Automatic Programming.
GPTP
(2018)
Arend Hintze
,
Jory Schossau
,
Clifford Bohm
The Evolutionary Buffet Method.
GPTP
(2018)
Stephen Kelly
,
Robert J. Smith
,
Malcolm I. Heywood
Emergent Policy Discovery for Visual Reinforcement Learning Through Tangled Program Graphs: A Tutorial.
GPTP
(2018)
2017
Randal S. Olson
,
Moshe Sipper
,
William G. La Cava
,
Sharon Tartarone
,
Steven Vitale
,
Weixuan Fu
,
Patryk Orzechowski
,
Ryan J. Urbanowicz
,
John H. Holmes
,
Jason H. Moore
A System for Accessible Artificial Intelligence.
GPTP
(2017)
Emily L. Dolson
,
Wolfgang Banzhaf
,
Charles Ofria
Applying Ecological Principles to Genetic Programming.
GPTP
(2017)
Bogdan Burlacu
,
Michael Affenzeller
,
Michael Kommenda
,
Gabriel Kronberger
,
Stephan M. Winkler
Schema Analysis in Tree-Based Genetic Programming.
GPTP
(2017)
Michael F. Korns
Genetic Programming Symbolic Classification: A Study.
GPTP
(2017)
Stjepan Picek
,
Erik Hemberg
,
Domagoj Jakobovic
,
Una-May O'Reilly
One-Class Classification of Low Volume DoS Attacks with Genetic Programming.
GPTP
(2017)
Lee Spector
,
William G. La Cava
,
Saul Shanabrook
,
Thomas Helmuth
,
Edward R. Pantridge
Relaxations of Lexicase Parent Selection.
GPTP
(2017)
Steven B. Fine
,
Erik Hemberg
,
Krzysztof Krawiec
,
Una-May O'Reilly
Exploiting Subprograms in Genetic Programming.
GPTP
(2017)
Sarah Anne Troise
,
Thomas Helmuth
Lexicase Selection with Weighted Shuffle.
GPTP
(2017)
Amirhessam Tahmassebi
,
Amir H. Gandomi
Genetic Programming Based on Error Decomposition: A Big Data Approach.
GPTP
(2017)
Zhiruo Zhao
,
Stuart W. Card
,
Kishan G. Mehrotra
,
Chilukuri K. Mohan
Evolution of Space-Partitioning Forest for Anomaly Detection.
GPTP
(2017)
Ryan J. Urbanowicz
,
Ben Yang
,
Jason H. Moore
Problem Driven Machine Learning by Co-evolving Genetic Programming Trees and Rules in a Learning Classifier System.
GPTP
(2017)
2016
Erik Hemberg
,
Jacob B. Rosen
,
Una-May O'Reilly
Investigating Multi-Population Competitive Coevolution for Anticipation of Tax Evasion.
GPTP
(2016)
Armand R. Burks
,
William F. Punch
An Investigation of Hybrid Structural and Behavioral Diversity Methods in Genetic Programming.
GPTP
(2016)
Luiz Otávio Vilas Boas Oliveira
,
Fernando E. B. Otero
,
Gisele L. Pappa
A Generic Framework for Building Dispersion Operators in the Semantic Space.
GPTP
(2016)
Leonardo Trujillo
,
Emigdio Z.-Flores
,
Perla S. Juárez-Smith
,
Pierrick Legrand
,
Sara Silva
,
Mauro Castelli
,
Leonardo Vanneschi
,
Oliver Schütze
,
Luis Muñoz
Local Search is Underused in Genetic Programming.
GPTP
(2016)
Steven Gustafson
,
Arun Subramaniyan
,
Aisha Yousuf
Assisting Asset Model Development with Evolutionary Augmentation.
GPTP
(2016)