Contents
Evolving Simple Symbolic Regression Models
by Multi-Objective Genetic Programming.................................... 1
Michael Kommenda, Gabriel Kronberger, Michael Affenzeller,
Stephan M. Winkler, and Bogdan Burlacu
Learning Heuristics for Mining RNA Sequence-Structure Motifs......... 21
Achiya Elyasaf, Pavel Vaks, Nimrod Milo, Moshe Sipper,
and Michal Ziv-Ukelson
Kaizen Programming for Feature Construction for Classification......... 39
Vinícius Veloso de Melo and Wolfgang Banzhaf
GP As If You Meant It: An Exercise for Mindful Practice.................. 59
William A. Tozier
nPool: Massively Distributed Simultaneous Evolution and
Cross-Validation in EC-Star.................................................... 79
Babak Hodjat and Hormoz Shahrzad
Highly Accurate Symbolic Regression with Noisy Training Data.......... 91
Michael F. Korns
Using Genetic Programming for Data Science: Lessons Learned.......... 117
Steven Gustafson, Ram Narasimhan, Ravi Palla, and Aisha Yousuf
The Evolution of Everything (EvE) and Genetic Programming............ 137
W.P. Worzel
Lexicase Selection for Program Synthesis: A Diversity Analysis........... 151
Thomas Helmuth, Nicholas Freitag McPhee, and Lee Spector
Behavioral Program Synthesis: Insights and Prospects..................... 169
Krzysztof Krawiec, Jerry Swan, and Una-May O’Reilly
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