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GPTP 2018: University of Michigan, Ann Arbor, MI, USA

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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
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  - conf/gptp/DolsonLO18
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Emily L. Dolson, Alexander Lalejini, Charles Ofria:
Exploring Genetic Programming Systems with MAP-Elites. 1-16
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  - conf/gptp/HintzeSB18
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Arend Hintze, Jory Schossau, Clifford Bohm:
The Evolutionary Buffet Method. 17-36
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  - conf/gptp/KellySH18
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Stephen Kelly, Robert J. Smith, Malcolm I. Heywood:
Emergent Policy Discovery for Visual Reinforcement Learning Through Tangled Program Graphs: A Tutorial. 37-57
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  - conf/gptp/KornsM18
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Michael F. Korns, Tim May:
Strong Typing, Swarm Enhancement, and Deep Learning Feature Selection in the Pursuit of Symbolic Regression-Classification. 59-84
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  - conf/gptp/KronbergerKBWKA18
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Gabriel Kronberger, Lukas Kammerer, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller:
Cluster Analysis of a Symbolic Regression Search Space. 85-102
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Alexander Lalejini, Charles Ofria:
What Else Is in an Evolved Name? Exploring Evolvable Specificity with SignalGP. 103-121
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  - conf/gptp/MetevierSS18
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Blossom Metevier, Anil Kumar Saini, Lee Spector:
Lexicase Selection Beyond Genetic Programming. 123-136
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  - conf/gptp/MillerWC18
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Julian F. Miller, Dennis G. Wilson, Sylvain Cussat-Blanc:
Evolving Developmental Programs That Build Neural Networks for Solving Multiple Problems. 137-178
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Michael O'Neill, David Fagan:
The Elephant in the Room: Towards the Application of Genetic Programming to Automatic Programming. 179-192
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  - conf/gptp/TrujilloMLH18
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Leonardo Trujillo, Luis Muñoz, Uriel López, Daniel E. Hernández:
Untapped Potential of Genetic Programming: Transfer Learning and Outlier Removal. 193-207
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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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