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GPTP 2016: University of Michigan, Ann Arbor, MI, USA
- 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 - 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 - Armand R. Burks, William F. Punch:
An Investigation of Hybrid Structural and Behavioral Diversity Methods in Genetic Programming. 19-34 - Erik Hemberg, Jacob B. Rosen, Una-May O'Reilly:
Investigating Multi-Population Competitive Coevolution for Anticipation of Tax Evasion. 35-51 - Itay Azaria, Achiya Elyasaf, Moshe Sipper:
Evolving Artificial General Intelligence for Video Game Controllers. 53-63 - Nicholas Freitag McPhee, Mitchell D. Finzel, Maggie M. Casale, Thomas Helmuth, Lee Spector:
A Detailed Analysis of a PushGP Run. 65-83 - Thomas Helmuth, Lee Spector, Nicholas Freitag McPhee, Saul Shanabrook:
Linear Genomes for Structured Programs. 85-100 - Ting Hu, Wolfgang Banzhaf:
Neutrality, Robustness, and Evolvability in Genetic Programming. 101-117 - 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 - Babak Hodjat, Hormoz Shahrzad, Risto Miikkulainen, Lawrence Murray, Chris C. Holmes:
PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification. 139-148 - Jerry Swan, Krzysztof Krawiec:
Discovering Relational Structure in Program Synthesis Problems with Analogical Reasoning. 149-164 - Michael F. Korns:
An Evolutionary Algorithm for Big Data Multi-Class Classification Problems. 165-178 - 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 - Steven Gustafson, Arun Subramaniyan, Aisha Yousuf:
Assisting Asset Model Development with Evolutionary Augmentation. 197-210 - 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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