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ORCIDGPTP 2018: University of Michigan, Ann Arbor, MI, USA
- Wolfgang Banzhaf, Lee Spector, Leigh Sheneman:
Genetic Programming Theory and Practice XVI, [GPTP 2018, University of Michigan, Ann Arbor, USA, May 17-20, 2018]. Genetic and Evolutionary Computation, Springer 2019, ISBN 978-3-030-04734-4 - Emily L. Dolson
, Alexander Lalejini, Charles Ofria:
Exploring Genetic Programming Systems with MAP-Elites. 1-16 - Arend Hintze, Jory Schossau, Clifford Bohm:
The Evolutionary Buffet Method. 17-36 - Stephen Kelly, Robert J. Smith, Malcolm I. Heywood:
Emergent Policy Discovery for Visual Reinforcement Learning Through Tangled Program Graphs: A Tutorial. 37-57 - Michael F. Korns, Tim May:
Strong Typing, Swarm Enhancement, and Deep Learning Feature Selection in the Pursuit of Symbolic Regression-Classification. 59-84 - Gabriel Kronberger, Lukas Kammerer, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller:
Cluster Analysis of a Symbolic Regression Search Space. 85-102 - Alexander Lalejini, Charles Ofria:
What Else Is in an Evolved Name? Exploring Evolvable Specificity with SignalGP. 103-121 - Blossom Metevier, Anil Kumar Saini, Lee Spector:
Lexicase Selection Beyond Genetic Programming. 123-136 - Julian F. Miller, Dennis G. Wilson, Sylvain Cussat-Blanc:
Evolving Developmental Programs That Build Neural Networks for Solving Multiple Problems. 137-178 - Michael O'Neill, David Fagan:
The Elephant in the Room: Towards the Application of Genetic Programming to Automatic Programming. 179-192 - Leonardo Trujillo, Luis Muñoz, Uriel López, Daniel E. Hernández:
Untapped Potential of Genetic Programming: Transfer Learning and Outlier Removal. 193-207 - Fangkai Yang, Steven Gustafson, Alexander Elkholy, Daoming Lyu, Bo Liu:
Program Search for Machine Learning Pipelines Leveraging Symbolic Planning and Reinforcement Learning. 209-231
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