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GPTP 2016: University of Michigan, Ann Arbor, MI, USA

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Rick L. Riolo, Bill Worzel, Brian Goldman, Bill Tozier:
Genetic Programming Theory and Practice XIV, [GPTP 2016, University of Michigan, Ann Arbor, USA, May 19-21, 2016]. Genetic and Evolutionary Computation, Springer 2018, ISBN 978-3-319-97087-5
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  - conf/gptp/WinklerABKKF16
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Stephan M. Winkler, Michael Affenzeller, Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda, Philipp Fleck:
Similarity-Based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression. 1-17
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  - conf/gptp/BurksP16
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Armand R. Burks, William F. Punch:
An Investigation of Hybrid Structural and Behavioral Diversity Methods in Genetic Programming. 19-34
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  - conf/gptp/HembergRO16
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Erik Hemberg, Jacob B. Rosen, Una-May O'Reilly:
Investigating Multi-Population Competitive Coevolution for Anticipation of Tax Evasion. 35-51
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Itay Azaria, Achiya Elyasaf, Moshe Sipper:
Evolving Artificial General Intelligence for Video Game Controllers. 53-63
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Nicholas Freitag McPhee, Mitchell D. Finzel, Maggie M. Casale, Thomas Helmuth, Lee Spector:
A Detailed Analysis of a PushGP Run. 65-83
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Thomas Helmuth, Lee Spector, Nicholas Freitag McPhee, Saul Shanabrook:
Linear Genomes for Structured Programs. 85-100
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Ting Hu, Wolfgang Banzhaf:
Neutrality, Robustness, and Evolvability in Genetic Programming. 101-117
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  - conf/gptp/TrujilloZJLSCVS16
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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. 119-137
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Babak Hodjat, Hormoz Shahrzad, Risto Miikkulainen, Lawrence Murray, Chris C. Holmes:
PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification. 139-148
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Jerry Swan, Krzysztof Krawiec:
Discovering Relational Structure in Program Synthesis Problems with Analogical Reasoning. 149-164
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Michael F. Korns:
An Evolutionary Algorithm for Big Data Multi-Class Classification Problems. 165-178
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  - conf/gptp/OliveiraOP16
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Luiz Otávio Vilas Boas Oliveira, Fernando E. B. Otero, Gisele L. Pappa:
A Generic Framework for Building Dispersion Operators in the Semantic Space. 179-195
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Steven Gustafson, Arun Subramaniyan, Aisha Yousuf:
Assisting Asset Model Development with Evolutionary Augmentation. 197-210
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Randal S. Olson, Jason H. Moore:
Identifying and Harnessing the Building Blocks of Machine Learning Pipelines for Sensible Initialization of a Data Science Automation Tool. 211-223

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